Warning: Permanently added '98.82.8.175' (ED25519) to the list of known hosts.

You can reproduce this build on your computer by running:

  sudo dnf install copr-rpmbuild
  /usr/bin/copr-rpmbuild --verbose --drop-resultdir --task-url https://copr.fedorainfracloud.org/backend/get-build-task/9231810-fedora-rawhide-x86_64 --chroot fedora-rawhide-x86_64


Version: 1.3
PID: 11866
Logging PID: 11867
Task:
{'allow_user_ssh': False,
 'appstream': False,
 'background': False,
 'bootstrap': 'off',
 'build_id': 9231810,
 'buildroot_pkgs': [],
 'chroot': 'fedora-rawhide-x86_64',
 'enable_net': False,
 'fedora_review': False,
 'git_hash': 'b73864b431565922a1769e1bbb6bbdb61ca0f245',
 'git_repo': 'https://copr-dist-git.fedorainfracloud.org/git/iucar/cran/R-CRAN-adelie',
 'isolation': 'default',
 'memory_reqs': 2048,
 'package_name': 'R-CRAN-adelie',
 'package_version': '1.0.8-1.copr9231810',
 'project_dirname': 'cran',
 'project_name': 'cran',
 'project_owner': 'iucar',
 'repo_priority': None,
 'repos': [{'baseurl': 'https://download.copr.fedorainfracloud.org/results/iucar/cran/fedora-rawhide-x86_64/',
            'id': 'copr_base',
            'name': 'Copr repository',
            'priority': None}],
 'sandbox': 'iucar/cran--iucar',
 'source_json': {},
 'source_type': None,
 'ssh_public_keys': None,
 'storage': None,
 'submitter': 'iucar',
 'tags': [],
 'task_id': '9231810-fedora-rawhide-x86_64',
 'timeout': 18000,
 'uses_devel_repo': False,
 'with_opts': [],
 'without_opts': []}

Running: git clone https://copr-dist-git.fedorainfracloud.org/git/iucar/cran/R-CRAN-adelie /var/lib/copr-rpmbuild/workspace/workdir-64vrls4h/R-CRAN-adelie --depth 500 --no-single-branch --recursive

cmd: ['git', 'clone', 'https://copr-dist-git.fedorainfracloud.org/git/iucar/cran/R-CRAN-adelie', '/var/lib/copr-rpmbuild/workspace/workdir-64vrls4h/R-CRAN-adelie', '--depth', '500', '--no-single-branch', '--recursive']
cwd: .
rc: 0
stdout: 
stderr: Cloning into '/var/lib/copr-rpmbuild/workspace/workdir-64vrls4h/R-CRAN-adelie'...

Running: git checkout b73864b431565922a1769e1bbb6bbdb61ca0f245 --

cmd: ['git', 'checkout', 'b73864b431565922a1769e1bbb6bbdb61ca0f245', '--']
cwd: /var/lib/copr-rpmbuild/workspace/workdir-64vrls4h/R-CRAN-adelie
rc: 0
stdout: 
stderr: Note: switching to 'b73864b431565922a1769e1bbb6bbdb61ca0f245'.

You are in 'detached HEAD' state. You can look around, make experimental
changes and commit them, and you can discard any commits you make in this
state without impacting any branches by switching back to a branch.

If you want to create a new branch to retain commits you create, you may
do so (now or later) by using -c with the switch command. Example:

  git switch -c <new-branch-name>

Or undo this operation with:

  git switch -

Turn off this advice by setting config variable advice.detachedHead to false

HEAD is now at b73864b automatic import of R-CRAN-adelie

Running: dist-git-client sources

cmd: ['dist-git-client', 'sources']
cwd: /var/lib/copr-rpmbuild/workspace/workdir-64vrls4h/R-CRAN-adelie
rc: 0
stdout: 
stderr: INFO: Reading stdout from command: git rev-parse --abbrev-ref HEAD
INFO: Reading stdout from command: git rev-parse HEAD
INFO: Reading sources specification file: sources
INFO: Downloading adelie_1.0.8.tar.gz
INFO: Reading stdout from command: curl --help all
INFO: Calling: curl -H Pragma: -o adelie_1.0.8.tar.gz --location --connect-timeout 60 --retry 3 --retry-delay 10 --remote-time --show-error --fail --retry-all-errors https://copr-dist-git.fedorainfracloud.org/repo/pkgs/iucar/cran/R-CRAN-adelie/adelie_1.0.8.tar.gz/md5/536ccfbeeb47eecd7c4fa942ebbec7e1/adelie_1.0.8.tar.gz
  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
                                 Dload  Upload   Total   Spent    Left  Speed
100 1413k  100 1413k    0     0  88.2M      0 --:--:-- --:--:-- --:--:-- 92.0M
INFO: Reading stdout from command: md5sum adelie_1.0.8.tar.gz

tail: /var/lib/copr-rpmbuild/main.log: file truncated
Running (timeout=18000): unbuffer mock --spec /var/lib/copr-rpmbuild/workspace/workdir-64vrls4h/R-CRAN-adelie/R-CRAN-adelie.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-64vrls4h/R-CRAN-adelie --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1751421719.754451 -r /var/lib/copr-rpmbuild/results/configs/child.cfg
INFO: mock.py version 6.3 starting (python version = 3.13.3, NVR = mock-6.3-1.fc42), args: /usr/libexec/mock/mock --spec /var/lib/copr-rpmbuild/workspace/workdir-64vrls4h/R-CRAN-adelie/R-CRAN-adelie.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-64vrls4h/R-CRAN-adelie --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1751421719.754451 -r /var/lib/copr-rpmbuild/results/configs/child.cfg
Start: init plugins
INFO: tmpfs initialized
INFO: selinux enabled
INFO: chroot_scan: initialized
INFO: compress_logs: initialized
Finish: init plugins
INFO: Signal handler active
Start: run
INFO: Start(/var/lib/copr-rpmbuild/workspace/workdir-64vrls4h/R-CRAN-adelie/R-CRAN-adelie.spec)  Config(fedora-rawhide-x86_64)
Start: clean chroot
Finish: clean chroot
Mock Version: 6.3
INFO: Mock Version: 6.3
Start: chroot init
INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-x86_64-1751421719.754451/root.
INFO: calling preinit hooks
INFO: enabled root cache
INFO: enabled package manager cache
Start: cleaning package manager metadata
Finish: cleaning package manager metadata
INFO: enabled HW Info plugin
INFO: Package manager dnf5 detected and used (fallback)
INFO: Buildroot is handled by package management from host and used with --installroot:
  rpm-4.20.1-1.fc42.x86_64
  rpm-sequoia-1.7.0-5.fc42.x86_64
  python3-dnf-4.23.0-1.fc42.noarch
  python3-dnf-plugins-core-4.10.1-1.fc42.noarch
  dnf5-5.2.13.1-1.fc42.x86_64
  dnf5-plugins-5.2.13.1-1.fc42.x86_64
Start: installing minimal buildroot with dnf5
Updating and loading repositories:
 fedora                                 100% |  16.7 MiB/s |  21.8 MiB |  00m01s
 Copr repository                        100% | 198.5 MiB/s |  12.7 MiB |  00m00s
Repositories loaded.
Package                            Arch   Version                    Repository      Size
Installing group/module packages:
 bash                              x86_64 5.2.37-3.fc43              fedora       8.2 MiB
 bzip2                             x86_64 1.0.8-20.fc42              fedora      99.3 KiB
 coreutils                         x86_64 9.7-3.fc43                 fedora       5.4 MiB
 cpio                              x86_64 2.15-2.fc41                fedora       1.1 MiB
 diffutils                         x86_64 3.12-2.fc43                fedora       1.6 MiB
 fedora-release-common             noarch 43-0.16                    fedora      20.4 KiB
 findutils                         x86_64 1:4.10.0-5.fc42            fedora       1.9 MiB
 gawk                              x86_64 5.3.2-1.fc43               fedora       1.8 MiB
 glibc-minimal-langpack            x86_64 2.41.9000-20.fc43          fedora       0.0   B
 grep                              x86_64 3.12-1.fc43                fedora       1.0 MiB
 gzip                              x86_64 1.13-3.fc42                fedora     392.9 KiB
 info                              x86_64 7.2-4.fc43                 fedora     353.9 KiB
 patch                             x86_64 2.8-1.fc43                 fedora     226.8 KiB
 redhat-rpm-config                 noarch 343-6.fc43                 fedora     181.4 KiB
 rpm-build                         x86_64 5.99.90-6.fc43             fedora     281.7 KiB
 sed                               x86_64 4.9-4.fc42                 fedora     857.3 KiB
 shadow-utils                      x86_64 2:4.17.4-1.fc43            fedora       4.0 MiB
 tar                               x86_64 2:1.35-5.fc42              fedora       3.0 MiB
 unzip                             x86_64 6.0-66.fc42                fedora     390.3 KiB
 util-linux                        x86_64 2.41.1-10.fc43             fedora       3.5 MiB
 which                             x86_64 2.23-2.fc43                fedora      83.5 KiB
 xz                                x86_64 1:5.8.1-1.fc43             fedora       1.3 MiB
Installing dependencies:
 add-determinism                   x86_64 0.6.0-1.fc43               fedora       2.5 MiB
 alternatives                      x86_64 1.33-1.fc43                fedora      62.2 KiB
 ansible-srpm-macros               noarch 1-17.1.fc42                fedora      35.7 KiB
 audit-libs                        x86_64 4.0.5-2.fc43               fedora     351.3 KiB
 binutils                          x86_64 2.44-3.fc43                fedora      25.9 MiB
 build-reproducibility-srpm-macros noarch 0.6.0-1.fc43               fedora     735.0   B
 bzip2-libs                        x86_64 1.0.8-20.fc42              fedora      84.6 KiB
 ca-certificates                   noarch 2024.2.69_v8.0.401-5.fc42  fedora       2.6 MiB
 coreutils-common                  x86_64 9.7-3.fc43                 fedora      11.3 MiB
 crypto-policies                   noarch 20250620-1.git9496ef7.fc43 fedora     146.3 KiB
 curl                              x86_64 8.15.0~rc1-1.fc43          fedora     473.4 KiB
 cyrus-sasl-lib                    x86_64 2.1.28-30.fc42             fedora       2.3 MiB
 debugedit                         x86_64 5.1-7.fc43                 fedora     192.7 KiB
 dwz                               x86_64 0.16-1.fc43                fedora     287.1 KiB
 ed                                x86_64 1.21.1-1.fc43              fedora     142.8 KiB
 efi-srpm-macros                   noarch 6-3.fc43                   fedora      40.1 KiB
 elfutils                          x86_64 0.193-2.fc43               fedora       2.9 MiB
 elfutils-debuginfod-client        x86_64 0.193-2.fc43               fedora      83.9 KiB
 elfutils-default-yama-scope       noarch 0.193-2.fc43               fedora       1.8 KiB
 elfutils-libelf                   x86_64 0.193-2.fc43               fedora       1.2 MiB
 elfutils-libs                     x86_64 0.193-2.fc43               fedora     683.4 KiB
 fedora-gpg-keys                   noarch 43-0.2                     fedora     129.0 KiB
 fedora-release                    noarch 43-0.16                    fedora       0.0   B
 fedora-release-identity-basic     noarch 43-0.16                    fedora     664.0   B
 fedora-repos                      noarch 43-0.2                     fedora       4.9 KiB
 fedora-repos-rawhide              noarch 43-0.2                     fedora       2.2 KiB
 file                              x86_64 5.46-5.fc43                fedora     100.2 KiB
 file-libs                         x86_64 5.46-5.fc43                fedora      11.9 MiB
 filesystem                        x86_64 3.18-44.fc43               fedora     112.0   B
 filesystem-srpm-macros            noarch 3.18-44.fc43               fedora      38.2 KiB
 fonts-srpm-macros                 noarch 1:2.0.5-22.fc43            fedora      55.8 KiB
 forge-srpm-macros                 noarch 0.4.0-2.fc42               fedora      38.9 KiB
 fpc-srpm-macros                   noarch 1.3-14.fc42                fedora     144.0   B
 gdb-minimal                       x86_64 16.3-3.fc43                fedora      13.2 MiB
 gdbm-libs                         x86_64 1:1.23-9.fc42              fedora     129.9 KiB
 ghc-srpm-macros                   noarch 1.9.2-2.fc42               fedora     779.0   B
 glibc                             x86_64 2.41.9000-20.fc43          fedora       6.7 MiB
 glibc-common                      x86_64 2.41.9000-20.fc43          fedora       1.0 MiB
 glibc-gconv-extra                 x86_64 2.41.9000-20.fc43          fedora       7.2 MiB
 gmp                               x86_64 1:6.3.0-3.fc43             fedora     819.2 KiB
 gnat-srpm-macros                  noarch 6-7.fc42                   fedora       1.0 KiB
 gnupg2                            x86_64 2.4.8-2.fc43               fedora       6.5 MiB
 gnupg2-dirmngr                    x86_64 2.4.8-2.fc43               fedora     618.4 KiB
 gnupg2-gpg-agent                  x86_64 2.4.8-2.fc43               fedora     671.4 KiB
 gnupg2-gpgconf                    x86_64 2.4.8-2.fc43               fedora     250.0 KiB
 gnupg2-keyboxd                    x86_64 2.4.8-2.fc43               fedora     201.4 KiB
 gnupg2-verify                     x86_64 2.4.8-2.fc43               fedora     348.5 KiB
 gnutls                            x86_64 3.8.9-5.fc43               fedora       3.6 MiB
 go-srpm-macros                    noarch 3.6.0-7.fc43               fedora      60.8 KiB
 gpgverify                         noarch 2.1-3.fc43                 fedora       8.7 KiB
 ima-evm-utils-libs                x86_64 1.6.2-5.fc43               fedora      60.7 KiB
 jansson                           x86_64 2.14-2.fc42                fedora      93.1 KiB
 java-srpm-macros                  noarch 1-4.fc43                   fedora     894.0   B
 json-c                            x86_64 0.18-2.fc42                fedora      86.7 KiB
 kernel-srpm-macros                noarch 1.0-25.fc42                fedora       1.9 KiB
 keyutils-libs                     x86_64 1.6.3-5.fc42               fedora      58.3 KiB
 krb5-libs                         x86_64 1.21.3-6.fc43              fedora       2.3 MiB
 libacl                            x86_64 2.3.2-3.fc42               fedora      38.3 KiB
 libarchive                        x86_64 3.8.1-1.fc43               fedora     951.1 KiB
 libassuan                         x86_64 2.5.7-3.fc42               fedora     167.8 KiB
 libattr                           x86_64 2.5.2-5.fc42               fedora      27.1 KiB
 libblkid                          x86_64 2.41.1-10.fc43             fedora     262.4 KiB
 libbrotli                         x86_64 1.1.0-7.fc43               fedora     833.3 KiB
 libcap                            x86_64 2.76-1.fc43                fedora     209.2 KiB
 libcap-ng                         x86_64 0.8.5-5.fc43               fedora      68.9 KiB
 libcom_err                        x86_64 1.47.2-3.fc42              fedora      67.1 KiB
 libcurl                           x86_64 8.15.0~rc1-1.fc43          fedora     903.4 KiB
 libeconf                          x86_64 0.7.9-1.fc43               fedora      64.9 KiB
 libevent                          x86_64 2.1.12-15.fc42             fedora     903.1 KiB
 libfdisk                          x86_64 2.41.1-10.fc43             fedora     380.4 KiB
 libffi                            x86_64 3.5.1-1.fc43               fedora      83.6 KiB
 libfsverity                       x86_64 1.6-2.fc42                 fedora      32.5 KiB
 libgcc                            x86_64 15.1.1-2.fc43              fedora     266.6 KiB
 libgcrypt                         x86_64 1.11.1-1.fc43              fedora       1.6 MiB
 libgomp                           x86_64 15.1.1-2.fc43              fedora     539.1 KiB
 libgpg-error                      x86_64 1.55-1.fc43                fedora     915.3 KiB
 libidn2                           x86_64 2.3.8-1.fc43               fedora     552.5 KiB
 libksba                           x86_64 1.6.7-3.fc42               fedora     402.5 KiB
 liblastlog2                       x86_64 2.41.1-10.fc43             fedora      33.9 KiB
 libmount                          x86_64 2.41.1-10.fc43             fedora     372.7 KiB
 libnghttp2                        x86_64 1.66.0-1.fc43              fedora     162.2 KiB
 libpkgconf                        x86_64 2.3.0-2.fc42               fedora      78.1 KiB
 libpsl                            x86_64 0.21.5-5.fc42              fedora      76.4 KiB
 libselinux                        x86_64 3.8-3.fc43                 fedora     193.1 KiB
 libsemanage                       x86_64 3.8.1-3.fc43               fedora     304.4 KiB
 libsepol                          x86_64 3.8-1.fc42                 fedora     826.0 KiB
 libsmartcols                      x86_64 2.41.1-10.fc43             fedora     180.5 KiB
 libssh                            x86_64 0.11.2-1.fc43              fedora     566.7 KiB
 libssh-config                     noarch 0.11.2-1.fc43              fedora     277.0   B
 libstdc++                         x86_64 15.1.1-2.fc43              fedora       2.8 MiB
 libtasn1                          x86_64 4.20.0-1.fc43              fedora     176.3 KiB
 libtool-ltdl                      x86_64 2.5.4-4.fc42               fedora      70.1 KiB
 libunistring                      x86_64 1.1-9.fc42                 fedora       1.7 MiB
 libusb1                           x86_64 1.0.28-2.fc43              fedora     171.0 KiB
 libuuid                           x86_64 2.41.1-10.fc43             fedora      37.4 KiB
 libverto                          x86_64 0.3.2-10.fc42              fedora      25.4 KiB
 libxcrypt                         x86_64 4.4.38-7.fc43              fedora     284.5 KiB
 libxml2                           x86_64 2.12.10-2.fc43             fedora       1.7 MiB
 libzstd                           x86_64 1.5.7-1.fc43               fedora     807.8 KiB
 lua-libs                          x86_64 5.4.8-1.fc43               fedora     280.8 KiB
 lua-srpm-macros                   noarch 1-15.fc42                  fedora       1.3 KiB
 lz4-libs                          x86_64 1.10.0-2.fc42              fedora     157.4 KiB
 mpfr                              x86_64 4.2.2-1.fc43               fedora     828.8 KiB
 ncurses-base                      noarch 6.5-6.20250614.fc43        fedora     328.1 KiB
 ncurses-libs                      x86_64 6.5-6.20250614.fc43        fedora     946.3 KiB
 nettle                            x86_64 3.10.1-1.fc43              fedora     790.5 KiB
 npth                              x86_64 1.8-2.fc42                 fedora      49.6 KiB
 ocaml-srpm-macros                 noarch 10-4.fc42                  fedora       1.9 KiB
 openblas-srpm-macros              noarch 2-19.fc42                  fedora     112.0   B
 openldap                          x86_64 2.6.10-1.fc43              fedora     655.8 KiB
 openssl-libs                      x86_64 1:3.5.0-5.fc43             fedora       8.9 MiB
 p11-kit                           x86_64 0.25.5-8.fc43              fedora       2.2 MiB
 p11-kit-trust                     x86_64 0.25.5-8.fc43              fedora     395.5 KiB
 package-notes-srpm-macros         noarch 0.5-13.fc42                fedora       1.6 KiB
 pam-libs                          x86_64 1.7.1-1.fc43               fedora     126.8 KiB
 pcre2                             x86_64 10.45-1.fc43               fedora     697.7 KiB
 pcre2-syntax                      noarch 10.45-1.fc43               fedora     273.9 KiB
 perl-srpm-macros                  noarch 1-57.fc42                  fedora     861.0   B
 pkgconf                           x86_64 2.3.0-2.fc42               fedora      88.5 KiB
 pkgconf-m4                        noarch 2.3.0-2.fc42               fedora      14.4 KiB
 pkgconf-pkg-config                x86_64 2.3.0-2.fc42               fedora     989.0   B
 popt                              x86_64 1.19-8.fc42                fedora     132.8 KiB
 publicsuffix-list-dafsa           noarch 20250616-1.fc43            fedora      69.1 KiB
 pyproject-srpm-macros             noarch 1.18.2-1.fc43              fedora       1.9 KiB
 python-srpm-macros                noarch 3.14-1.fc43                fedora      51.7 KiB
 qt5-srpm-macros                   noarch 5.15.17-1.fc43             fedora     500.0   B
 qt6-srpm-macros                   noarch 6.9.1-1.fc43               fedora     464.0   B
 readline                          x86_64 8.2-13.fc43                fedora     485.0 KiB
 rpm                               x86_64 5.99.90-6.fc43             fedora       3.1 MiB
 rpm-build-libs                    x86_64 5.99.90-6.fc43             fedora     264.4 KiB
 rpm-libs                          x86_64 5.99.90-6.fc43             fedora     929.8 KiB
 rpm-sequoia                       x86_64 1.8.0-1.fc43               fedora       2.5 MiB
 rpm-sign-libs                     x86_64 5.99.90-6.fc43             fedora      39.7 KiB
 rust-srpm-macros                  noarch 26.3-4.fc42                fedora       4.8 KiB
 setup                             noarch 2.15.0-25.fc43             fedora     725.0 KiB
 sqlite-libs                       x86_64 3.50.0-1.fc43              fedora       1.5 MiB
 systemd-libs                      x86_64 257.7-1.fc43               fedora       2.2 MiB
 systemd-standalone-sysusers       x86_64 257.7-1.fc43               fedora     277.3 KiB
 tpm2-tss                          x86_64 4.1.3-7.fc43               fedora       1.6 MiB
 tree-sitter-srpm-macros           noarch 0.4.1-1.fc43               fedora       8.2 KiB
 util-linux-core                   x86_64 2.41.1-10.fc43             fedora       1.5 MiB
 xxhash-libs                       x86_64 0.8.3-2.fc42               fedora      90.2 KiB
 xz-libs                           x86_64 1:5.8.1-1.fc43             fedora     217.8 KiB
 zig-srpm-macros                   noarch 1-4.fc42                   fedora       1.1 KiB
 zip                               x86_64 3.0-43.fc42                fedora     698.5 KiB
 zlib-ng-compat                    x86_64 2.2.4-2.fc43               fedora     137.6 KiB
 zstd                              x86_64 1.5.7-1.fc43               fedora       1.7 MiB
Installing groups:
 Buildsystem building group                                                              

Transaction Summary:
 Installing:       169 packages

Total size of inbound packages is 59 MiB. Need to download 59 MiB.
After this operation, 197 MiB extra will be used (install 197 MiB, remove 0 B).
[  1/169] bzip2-0:1.0.8-20.fc42.x86_64  100% | 403.6 KiB/s |  52.1 KiB |  00m00s
[  2/169] cpio-0:2.15-2.fc41.x86_64     100% |   2.5 MiB/s | 291.8 KiB |  00m00s
[  3/169] coreutils-0:9.7-3.fc43.x86_64 100% |   4.7 MiB/s |   1.1 MiB |  00m00s
[  4/169] bash-0:5.2.37-3.fc43.x86_64   100% |   7.3 MiB/s |   1.8 MiB |  00m00s
[  5/169] fedora-release-common-0:43-0. 100% | 551.1 KiB/s |  25.9 KiB |  00m00s
[  6/169] diffutils-0:3.12-2.fc43.x86_6 100% |   6.5 MiB/s | 392.7 KiB |  00m00s
[  7/169] findutils-1:4.10.0-5.fc42.x86 100% |   8.8 MiB/s | 551.5 KiB |  00m00s
[  8/169] glibc-minimal-langpack-0:2.41 100% |   1.1 MiB/s |  32.6 KiB |  00m00s
[  9/169] grep-0:3.12-1.fc43.x86_64     100% |   8.1 MiB/s | 299.5 KiB |  00m00s
[ 10/169] gzip-0:1.13-3.fc42.x86_64     100% |   4.1 MiB/s | 170.4 KiB |  00m00s
[ 11/169] info-0:7.2-4.fc43.x86_64      100% |   3.6 MiB/s | 182.8 KiB |  00m00s
[ 12/169] patch-0:2.8-1.fc43.x86_64     100% |   2.5 MiB/s | 113.7 KiB |  00m00s
[ 13/169] redhat-rpm-config-0:343-6.fc4 100% |   1.8 MiB/s |  79.4 KiB |  00m00s
[ 14/169] rpm-build-0:5.99.90-6.fc43.x8 100% |   4.8 MiB/s | 132.7 KiB |  00m00s
[ 15/169] sed-0:4.9-4.fc42.x86_64       100% |   7.6 MiB/s | 317.3 KiB |  00m00s
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[ 18/169] which-0:2.23-2.fc43.x86_64    100% | 804.6 KiB/s |  41.8 KiB |  00m00s
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[ 31/169] libcap-0:2.76-1.fc43.x86_64   100% |   2.4 MiB/s |  86.9 KiB |  00m00s
[ 32/169] libselinux-0:3.8-3.fc43.x86_6 100% |   2.9 MiB/s |  96.7 KiB |  00m00s
[ 33/169] openssl-libs-1:3.5.0-5.fc43.x 100% |  21.0 MiB/s |   2.6 MiB |  00m00s
[ 34/169] systemd-libs-0:257.7-1.fc43.x 100% |   5.9 MiB/s | 789.7 KiB |  00m00s
[ 35/169] fedora-repos-0:43-0.2.noarch  100% |  68.4 KiB/s |   9.2 KiB |  00m00s
[ 36/169] pcre2-0:10.45-1.fc43.x86_64   100% |   5.1 MiB/s | 262.8 KiB |  00m00s
[ 37/169] glibc-common-0:2.41.9000-20.f 100% |   3.8 MiB/s | 319.4 KiB |  00m00s
[ 38/169] ed-0:1.21.1-1.fc43.x86_64     100% |   1.2 MiB/s |  82.2 KiB |  00m00s
[ 39/169] ansible-srpm-macros-0:1-17.1. 100% | 520.9 KiB/s |  20.3 KiB |  00m00s
[ 40/169] build-reproducibility-srpm-ma 100% | 343.6 KiB/s |  11.7 KiB |  00m00s
[ 41/169] dwz-0:0.16-1.fc43.x86_64      100% |   3.3 MiB/s | 135.5 KiB |  00m00s
[ 42/169] file-0:5.46-5.fc43.x86_64     100% |   2.1 MiB/s |  48.8 KiB |  00m00s
[ 43/169] efi-srpm-macros-0:6-3.fc43.no 100% | 535.6 KiB/s |  22.5 KiB |  00m00s
[ 44/169] filesystem-srpm-macros-0:3.18 100% | 838.2 KiB/s |  26.0 KiB |  00m00s
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[ 46/169] forge-srpm-macros-0:0.4.0-2.f 100% | 640.3 KiB/s |  19.9 KiB |  00m00s
[ 47/169] fpc-srpm-macros-0:1.3-14.fc42 100% | 364.5 KiB/s |   8.0 KiB |  00m00s
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[ 50/169] go-srpm-macros-0:3.6.0-7.fc43 100% | 789.2 KiB/s |  27.6 KiB |  00m00s
[ 51/169] java-srpm-macros-0:1-4.fc43.n 100% | 182.2 KiB/s |   7.7 KiB |  00m00s
[ 52/169] kernel-srpm-macros-0:1.0-25.f 100% | 224.3 KiB/s |   9.9 KiB |  00m00s
[ 53/169] lua-srpm-macros-0:1-15.fc42.n 100% | 189.7 KiB/s |   8.9 KiB |  00m00s
[ 54/169] ocaml-srpm-macros-0:10-4.fc42 100% | 209.2 KiB/s |   9.2 KiB |  00m00s
[ 55/169] openblas-srpm-macros-0:2-19.f 100% | 221.9 KiB/s |   7.8 KiB |  00m00s
[ 56/169] package-notes-srpm-macros-0:0 100% | 231.5 KiB/s |   9.3 KiB |  00m00s
[ 57/169] perl-srpm-macros-0:1-57.fc42. 100% | 303.8 KiB/s |   8.5 KiB |  00m00s
[ 58/169] pyproject-srpm-macros-0:1.18. 100% | 407.0 KiB/s |  13.4 KiB |  00m00s
[ 59/169] python-srpm-macros-0:3.14-1.f 100% | 772.0 KiB/s |  23.2 KiB |  00m00s
[ 60/169] qt5-srpm-macros-0:5.15.17-1.f 100% | 290.6 KiB/s |   8.7 KiB |  00m00s
[ 61/169] qt6-srpm-macros-0:6.9.1-1.fc4 100% | 323.6 KiB/s |   9.4 KiB |  00m00s
[ 62/169] rpm-0:5.99.90-6.fc43.x86_64   100% |  15.0 MiB/s | 553.2 KiB |  00m00s
[ 63/169] rust-srpm-macros-0:26.3-4.fc4 100% | 308.0 KiB/s |  11.7 KiB |  00m00s
[ 64/169] tree-sitter-srpm-macros-0:0.4 100% | 334.1 KiB/s |  13.0 KiB |  00m00s
[ 65/169] zig-srpm-macros-0:1-4.fc42.no 100% | 242.5 KiB/s |   8.2 KiB |  00m00s
[ 66/169] zip-0:3.0-43.fc42.x86_64      100% |   6.6 MiB/s | 263.5 KiB |  00m00s
[ 67/169] debugedit-0:5.1-7.fc43.x86_64 100% |   1.9 MiB/s |  78.8 KiB |  00m00s
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[ 69/169] elfutils-libelf-0:0.193-2.fc4 100% |   5.8 MiB/s | 207.9 KiB |  00m00s
[ 70/169] libarchive-0:3.8.1-1.fc43.x86 100% |  11.1 MiB/s | 421.4 KiB |  00m00s
[ 71/169] libgcc-0:15.1.1-2.fc43.x86_64 100% |   4.8 MiB/s | 127.5 KiB |  00m00s
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[ 73/169] popt-0:1.19-8.fc42.x86_64     100% |   2.0 MiB/s |  66.0 KiB |  00m00s
[ 74/169] readline-0:8.2-13.fc43.x86_64 100% |   4.5 MiB/s | 212.9 KiB |  00m00s
[ 75/169] rpm-libs-0:5.99.90-6.fc43.x86 100% |   8.5 MiB/s | 399.7 KiB |  00m00s
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[ 77/169] audit-libs-0:4.0.5-2.fc43.x86 100% |   3.6 MiB/s | 130.8 KiB |  00m00s
[ 78/169] zstd-0:1.5.7-1.fc43.x86_64    100% |   5.9 MiB/s | 485.8 KiB |  00m00s
[ 79/169] libsemanage-0:3.8.1-3.fc43.x8 100% |   3.2 MiB/s | 123.3 KiB |  00m00s
[ 80/169] libeconf-0:0.7.9-1.fc43.x86_6 100% | 482.5 KiB/s |  35.2 KiB |  00m00s
[ 81/169] libxcrypt-0:4.4.38-7.fc43.x86 100% |   4.0 MiB/s | 127.2 KiB |  00m00s
[ 82/169] pam-libs-0:1.7.1-1.fc43.x86_6 100% |   1.6 MiB/s |  57.5 KiB |  00m00s
[ 83/169] setup-0:2.15.0-25.fc43.noarch 100% |   3.8 MiB/s | 157.6 KiB |  00m00s
[ 84/169] mpfr-0:4.2.2-1.fc43.x86_64    100% |  10.9 MiB/s | 346.7 KiB |  00m00s
[ 85/169] xz-libs-1:5.8.1-1.fc43.x86_64 100% |   1.9 MiB/s | 113.0 KiB |  00m00s
[ 86/169] libblkid-0:2.41.1-10.fc43.x86 100% |   3.4 MiB/s | 124.0 KiB |  00m00s
[ 87/169] libcap-ng-0:0.8.5-5.fc43.x86_ 100% |   1.2 MiB/s |  32.2 KiB |  00m00s
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[ 97/169] libsepol-0:3.8-1.fc42.x86_64  100% |   5.8 MiB/s | 348.9 KiB |  00m00s
[ 98/169] ca-certificates-0:2024.2.69_v 100% |  17.1 MiB/s | 945.0 KiB |  00m00s
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[100/169] fedora-gpg-keys-0:43-0.2.noar 100% |   3.7 MiB/s | 136.6 KiB |  00m00s
[101/169] fedora-repos-rawhide-0:43-0.2 100% | 314.4 KiB/s |   8.8 KiB |  00m00s
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[130/169] npth-0:1.8-2.fc42.x86_64      100% | 601.0 KiB/s |  25.8 KiB |  00m00s
[131/169] tpm2-tss-0:4.1.3-7.fc43.x86_6 100% |   5.5 MiB/s | 423.4 KiB |  00m00s
[132/169] gnutls-0:3.8.9-5.fc43.x86_64  100% |  12.3 MiB/s |   1.2 MiB |  00m00s
[133/169] libksba-0:1.6.7-3.fc42.x86_64 100% |   1.6 MiB/s | 162.0 KiB |  00m00s
[134/169] libusb1-0:1.0.28-2.fc43.x86_6 100% |   2.2 MiB/s |  79.3 KiB |  00m00s
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[153/169] binutils-0:2.44-3.fc43.x86_64 100% |  33.6 MiB/s |   5.8 MiB |  00m00s
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[158/169] fedora-release-identity-basic 100% | 177.6 KiB/s |  15.6 KiB |  00m00s
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[161/169] krb5-libs-0:1.21.3-6.fc43.x86 100% |   8.4 MiB/s | 759.5 KiB |  00m00s
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[165/169] keyutils-libs-0:1.6.3-5.fc42. 100% | 875.9 KiB/s |  31.5 KiB |  00m00s
[166/169] libcom_err-0:1.47.2-3.fc42.x8 100% | 727.8 KiB/s |  26.9 KiB |  00m00s
[167/169] libverto-0:0.3.2-10.fc42.x86_ 100% | 562.2 KiB/s |  20.8 KiB |  00m00s
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[169/169] libssh-config-0:0.11.2-1.fc43 100% | 201.2 KiB/s |   8.9 KiB |  00m00s
--------------------------------------------------------------------------------
[169/169] Total                         100% |  18.3 MiB/s |  58.5 MiB |  00m03s
Running transaction
Importing OpenPGP key 0x31645531:
 UserID     : "Fedora (43) <fedora-43-primary@fedoraproject.org>"
 Fingerprint: C6E7F081CF80E13146676E88829B606631645531
 From       : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-43-primary
The key was successfully imported.
Importing OpenPGP key 0x105EF944:
 UserID     : "Fedora (42) <fedora-42-primary@fedoraproject.org>"
 Fingerprint: B0F4950458F69E1150C6C5EDC8AC4916105EF944
 From       : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-42-primary
The key was successfully imported.
Importing OpenPGP key 0x6D9F90A6:
 UserID     : "Fedora (44) <fedora-44-primary@fedoraproject.org>"
 Fingerprint: 36F612DCF27F7D1A48A835E4DBFCF71C6D9F90A6
 From       : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-44-primary
The key was successfully imported.
[  1/171] Verify package files          100% | 857.0   B/s | 169.0   B |  00m00s
[  2/171] Prepare transaction           100% |   4.3 KiB/s | 169.0   B |  00m00s
[  3/171] Installing libgcc-0:15.1.1-2. 100% | 262.0 MiB/s | 268.3 KiB |  00m00s
[  4/171] Installing libssh-config-0:0. 100% |   0.0   B/s | 816.0   B |  00m00s
[  5/171] Installing publicsuffix-list- 100% |   0.0   B/s |  69.8 KiB |  00m00s
[  6/171] Installing fedora-release-ide 100% |   0.0   B/s | 920.0   B |  00m00s
[  7/171] Installing fedora-repos-rawhi 100% |   0.0   B/s |   2.4 KiB |  00m00s
[  8/171] Installing fedora-gpg-keys-0: 100% |  42.9 MiB/s | 175.9 KiB |  00m00s
[  9/171] Installing fedora-repos-0:43- 100% |   0.0   B/s |   5.7 KiB |  00m00s
[ 10/171] Installing fedora-release-com 100% |  24.1 MiB/s |  24.7 KiB |  00m00s
[ 11/171] Installing fedora-release-0:4 100% |   9.3 KiB/s | 124.0   B |  00m00s
>>> Running sysusers scriptlet: setup-0:2.15.0-25.fc43.noarch                   
>>> Finished sysusers scriptlet: setup-0:2.15.0-25.fc43.noarch                  
>>> Scriptlet output:                                                           
>>> Creating group 'adm' with GID 4.                                            
>>> Creating group 'audio' with GID 63.                                         
>>> Creating group 'cdrom' with GID 11.                                         
>>> Creating group 'clock' with GID 103.                                        
>>> Creating group 'dialout' with GID 18.                                       
>>> Creating group 'disk' with GID 6.                                           
>>> Creating group 'floppy' with GID 19.                                        
>>> Creating group 'ftp' with GID 50.                                           
>>> Creating group 'games' with GID 20.                                         
>>> Creating group 'input' with GID 104.                                        
>>> Creating group 'kmem' with GID 9.                                           
>>> Creating group 'kvm' with GID 36.                                           
>>> Creating group 'lock' with GID 54.                                          
>>> Creating group 'lp' with GID 7.                                             
>>> Creating group 'mail' with GID 12.                                          
>>> Creating group 'man' with GID 15.                                           
>>> Creating group 'mem' with GID 8.                                            
>>> Creating group 'nobody' with GID 65534.                                     
>>> Creating group 'render' with GID 105.                                       
>>> Creating group 'root' with GID 0.                                           
>>> Creating group 'sgx' with GID 106.                                          
>>> Creating group 'sys' with GID 3.                                            
>>> Creating group 'tape' with GID 33.                                          
>>> Creating group 'tty' with GID 5.                                            
>>> Creating group 'users' with GID 100.                                        
>>> Creating group 'utmp' with GID 22.                                          
>>> Creating group 'video' with GID 39.                                         
>>> Creating group 'wheel' with GID 10.                                         
>>> Creating user 'adm' (adm) with UID 3 and GID 4.                             
>>> Creating group 'bin' with GID 1.                                            
>>> Creating user 'bin' (bin) with UID 1 and GID 1.                             
>>> Creating group 'daemon' with GID 2.                                         
>>> Creating user 'daemon' (daemon) with UID 2 and GID 2.                       
>>> Creating user 'ftp' (FTP User) with UID 14 and GID 50.                      
>>> Creating user 'games' (games) with UID 12 and GID 100.                      
>>> Creating user 'halt' (halt) with UID 7 and GID 0.                           
>>> Creating user 'lp' (lp) with UID 4 and GID 7.                               
>>> Creating user 'mail' (mail) with UID 8 and GID 12.                          
>>> Creating user 'nobody' (Kernel Overflow User) with UID 65534 and GID 65534. 
>>> Creating user 'operator' (operator) with UID 11 and GID 0.                  
>>> Creating user 'root' (Super User) with UID 0 and GID 0.                     
>>> Creating user 'shutdown' (shutdown) with UID 6 and GID 0.                   
>>> Creating user 'sync' (sync) with UID 5 and GID 0.                           
>>>                                                                             
[ 12/171] Installing setup-0:2.15.0-25. 100% |  51.0 MiB/s | 730.6 KiB |  00m00s
>>> [RPM] /etc/hosts created as /etc/hosts.rpmnew                               
[ 13/171] Installing filesystem-0:3.18- 100% |   2.8 MiB/s | 212.5 KiB |  00m00s
[ 14/171] Installing pkgconf-m4-0:2.3.0 100% |   0.0   B/s |  14.8 KiB |  00m00s
[ 15/171] Installing pcre2-syntax-0:10. 100% | 269.9 MiB/s | 276.4 KiB |  00m00s
[ 16/171] Installing ncurses-base-0:6.5 100% |  86.3 MiB/s | 353.5 KiB |  00m00s
[ 17/171] Installing glibc-minimal-lang 100% |   0.0   B/s | 124.0   B |  00m00s
[ 18/171] Installing ncurses-libs-0:6.5 100% | 232.6 MiB/s | 952.9 KiB |  00m00s
[ 19/171] Installing glibc-0:2.41.9000- 100% | 191.0 MiB/s |   6.7 MiB |  00m00s
[ 20/171] Installing bash-0:5.2.37-3.fc 100% | 255.6 MiB/s |   8.2 MiB |  00m00s
[ 21/171] Installing glibc-common-0:2.4 100% |  60.0 MiB/s |   1.0 MiB |  00m00s
[ 22/171] Installing glibc-gconv-extra- 100% | 261.1 MiB/s |   7.3 MiB |  00m00s
[ 23/171] Installing zlib-ng-compat-0:2 100% | 135.2 MiB/s | 138.4 KiB |  00m00s
[ 24/171] Installing bzip2-libs-0:1.0.8 100% |  83.7 MiB/s |  85.7 KiB |  00m00s
[ 25/171] Installing libgpg-error-0:1.5 100% |  56.2 MiB/s | 921.1 KiB |  00m00s
[ 26/171] Installing libstdc++-0:15.1.1 100% | 354.5 MiB/s |   2.8 MiB |  00m00s
[ 27/171] Installing xz-libs-1:5.8.1-1. 100% | 213.8 MiB/s | 218.9 KiB |  00m00s
[ 28/171] Installing libassuan-0:2.5.7- 100% | 165.6 MiB/s | 169.6 KiB |  00m00s
[ 29/171] Installing libgcrypt-0:1.11.1 100% | 393.8 MiB/s |   1.6 MiB |  00m00s
[ 30/171] Installing gmp-1:6.3.0-3.fc43 100% | 401.1 MiB/s | 821.5 KiB |  00m00s
[ 31/171] Installing readline-0:8.2-13. 100% | 237.8 MiB/s | 487.1 KiB |  00m00s
[ 32/171] Installing libuuid-0:2.41.1-1 100% |   0.0   B/s |  38.5 KiB |  00m00s
[ 33/171] Installing popt-0:1.19-8.fc42 100% |  68.1 MiB/s | 139.4 KiB |  00m00s
[ 34/171] Installing npth-0:1.8-2.fc42. 100% |   0.0   B/s |  50.7 KiB |  00m00s
[ 35/171] Installing libblkid-0:2.41.1- 100% | 257.2 MiB/s | 263.4 KiB |  00m00s
[ 36/171] Installing libxcrypt-0:4.4.38 100% | 280.4 MiB/s | 287.2 KiB |  00m00s
[ 37/171] Installing libzstd-0:1.5.7-1. 100% | 395.1 MiB/s | 809.1 KiB |  00m00s
[ 38/171] Installing elfutils-libelf-0: 100% | 388.8 MiB/s |   1.2 MiB |  00m00s
[ 39/171] Installing sqlite-libs-0:3.50 100% | 379.1 MiB/s |   1.5 MiB |  00m00s
[ 40/171] Installing gnupg2-gpgconf-0:2 100% |  11.7 MiB/s | 252.1 KiB |  00m00s
[ 41/171] Installing crypto-policies-0: 100% |  33.5 MiB/s | 171.3 KiB |  00m00s
[ 42/171] Installing libattr-0:2.5.2-5. 100% |   0.0   B/s |  28.1 KiB |  00m00s
[ 43/171] Installing libacl-0:2.3.2-3.f 100% |   0.0   B/s |  39.2 KiB |  00m00s
[ 44/171] Installing libtasn1-0:4.20.0- 100% | 173.9 MiB/s | 178.1 KiB |  00m00s
[ 45/171] Installing libunistring-0:1.1 100% | 345.3 MiB/s |   1.7 MiB |  00m00s
[ 46/171] Installing libidn2-0:2.3.8-1. 100% | 181.9 MiB/s | 558.7 KiB |  00m00s
[ 47/171] Installing dwz-0:0.16-1.fc43. 100% |  18.8 MiB/s | 288.5 KiB |  00m00s
[ 48/171] Installing mpfr-0:4.2.2-1.fc4 100% | 270.3 MiB/s | 830.4 KiB |  00m00s
[ 49/171] Installing gawk-0:5.3.2-1.fc4 100% |  90.8 MiB/s |   1.8 MiB |  00m00s
[ 50/171] Installing libksba-0:1.6.7-3. 100% | 197.8 MiB/s | 405.1 KiB |  00m00s
[ 51/171] Installing unzip-0:6.0-66.fc4 100% |  27.5 MiB/s | 393.8 KiB |  00m00s
[ 52/171] Installing file-libs-0:5.46-5 100% | 658.7 MiB/s |  11.9 MiB |  00m00s
[ 53/171] Installing file-0:5.46-5.fc43 100% |   7.6 MiB/s | 101.7 KiB |  00m00s
[ 54/171] Installing pcre2-0:10.45-1.fc 100% | 341.4 MiB/s | 699.1 KiB |  00m00s
[ 55/171] Installing grep-0:3.12-1.fc43 100% |  59.0 MiB/s |   1.0 MiB |  00m00s
[ 56/171] Installing xz-1:5.8.1-1.fc43. 100% |  74.0 MiB/s |   1.3 MiB |  00m00s
[ 57/171] Installing libeconf-0:0.7.9-1 100% |  65.0 MiB/s |  66.5 KiB |  00m00s
[ 58/171] Installing libcap-ng-0:0.8.5- 100% |  69.2 MiB/s |  70.8 KiB |  00m00s
[ 59/171] Installing audit-libs-0:4.0.5 100% | 345.1 MiB/s | 353.4 KiB |  00m00s
[ 60/171] Installing pam-libs-0:1.7.1-1 100% | 126.2 MiB/s | 129.2 KiB |  00m00s
[ 61/171] Installing libcap-0:2.76-1.fc 100% |  14.9 MiB/s | 214.3 KiB |  00m00s
[ 62/171] Installing systemd-libs-0:257 100% | 372.0 MiB/s |   2.2 MiB |  00m00s
[ 63/171] Installing libsmartcols-0:2.4 100% | 177.4 MiB/s | 181.6 KiB |  00m00s
[ 64/171] Installing libsepol-0:3.8-1.f 100% | 403.8 MiB/s | 827.0 KiB |  00m00s
[ 65/171] Installing libselinux-0:3.8-3 100% | 189.7 MiB/s | 194.3 KiB |  00m00s
[ 66/171] Installing findutils-1:4.10.0 100% |  98.6 MiB/s |   1.9 MiB |  00m00s
[ 67/171] Installing sed-0:4.9-4.fc42.x 100% |  52.8 MiB/s | 865.5 KiB |  00m00s
[ 68/171] Installing libmount-0:2.41.1- 100% | 182.5 MiB/s | 373.8 KiB |  00m00s
[ 69/171] Installing lz4-libs-0:1.10.0- 100% | 154.7 MiB/s | 158.5 KiB |  00m00s
[ 70/171] Installing lua-libs-0:5.4.8-1 100% | 275.4 MiB/s | 282.0 KiB |  00m00s
[ 71/171] Installing json-c-0:0.18-2.fc 100% |  85.9 MiB/s |  88.0 KiB |  00m00s
[ 72/171] Installing libffi-0:3.5.1-1.f 100% |  83.0 MiB/s |  85.0 KiB |  00m00s
[ 73/171] Installing p11-kit-0:0.25.5-8 100% | 109.3 MiB/s |   2.2 MiB |  00m00s
[ 74/171] Installing alternatives-0:1.3 100% |   4.8 MiB/s |  63.8 KiB |  00m00s
[ 75/171] Installing p11-kit-trust-0:0. 100% |  17.6 MiB/s | 397.1 KiB |  00m00s
[ 76/171] Installing zstd-0:1.5.7-1.fc4 100% | 100.6 MiB/s |   1.7 MiB |  00m00s
[ 77/171] Installing util-linux-core-0: 100% |  77.9 MiB/s |   1.5 MiB |  00m00s
[ 78/171] Installing tar-2:1.35-5.fc42. 100% | 141.0 MiB/s |   3.0 MiB |  00m00s
[ 79/171] Installing libsemanage-0:3.8. 100% | 299.0 MiB/s | 306.2 KiB |  00m00s
[ 80/171] Installing systemd-standalone 100% |  19.4 MiB/s | 277.8 KiB |  00m00s
[ 81/171] Installing libusb1-0:1.0.28-2 100% | 168.7 MiB/s | 172.7 KiB |  00m00s
[ 82/171] Installing zip-0:3.0-43.fc42. 100% |  45.7 MiB/s | 702.4 KiB |  00m00s
[ 83/171] Installing gnupg2-keyboxd-0:2 100% |  24.7 MiB/s | 202.7 KiB |  00m00s
[ 84/171] Installing libpsl-0:0.21.5-5. 100% |  75.7 MiB/s |  77.5 KiB |  00m00s
[ 85/171] Installing liblastlog2-0:2.41 100% |  35.1 MiB/s |  35.9 KiB |  00m00s
[ 86/171] Installing libfdisk-0:2.41.1- 100% | 186.3 MiB/s | 381.5 KiB |  00m00s
[ 87/171] Installing gnupg2-verify-0:2. 100% |  22.8 MiB/s | 349.9 KiB |  00m00s
[ 88/171] Installing nettle-0:3.10.1-1. 100% | 258.3 MiB/s | 793.6 KiB |  00m00s
[ 89/171] Installing gnutls-0:3.8.9-5.f 100% | 357.4 MiB/s |   3.6 MiB |  00m00s
[ 90/171] Installing libxml2-0:2.12.10- 100% |  94.7 MiB/s |   1.7 MiB |  00m00s
[ 91/171] Installing bzip2-0:1.0.8-20.f 100% |   7.2 MiB/s | 103.8 KiB |  00m00s
[ 92/171] Installing add-determinism-0: 100% | 123.3 MiB/s |   2.5 MiB |  00m00s
[ 93/171] Installing build-reproducibil 100% |   0.0   B/s |   1.0 KiB |  00m00s
[ 94/171] Installing ed-0:1.21.1-1.fc43 100% |  10.1 MiB/s | 145.1 KiB |  00m00s
[ 95/171] Installing patch-0:2.8-1.fc43 100% |  15.9 MiB/s | 228.3 KiB |  00m00s
[ 96/171] Installing filesystem-srpm-ma 100% |  38.0 MiB/s |  38.9 KiB |  00m00s
[ 97/171] Installing elfutils-default-y 100% | 340.5 KiB/s |   2.0 KiB |  00m00s
[ 98/171] Installing elfutils-libs-0:0. 100% | 223.1 MiB/s | 685.2 KiB |  00m00s
[ 99/171] Installing cpio-0:2.15-2.fc41 100% |  61.1 MiB/s |   1.1 MiB |  00m00s
[100/171] Installing diffutils-0:3.12-2 100% |  86.7 MiB/s |   1.6 MiB |  00m00s
[101/171] Installing libgomp-0:15.1.1-2 100% | 263.9 MiB/s | 540.5 KiB |  00m00s
[102/171] Installing libtool-ltdl-0:2.5 100% |  69.6 MiB/s |  71.2 KiB |  00m00s
[103/171] Installing gdbm-libs-1:1.23-9 100% | 128.5 MiB/s | 131.6 KiB |  00m00s
[104/171] Installing cyrus-sasl-lib-0:2 100% | 121.3 MiB/s |   2.3 MiB |  00m00s
[105/171] Installing jansson-0:2.14-2.f 100% |  92.2 MiB/s |  94.4 KiB |  00m00s
[106/171] Installing libpkgconf-0:2.3.0 100% |  77.4 MiB/s |  79.2 KiB |  00m00s
[107/171] Installing pkgconf-0:2.3.0-2. 100% |   6.8 MiB/s |  91.0 KiB |  00m00s
[108/171] Installing pkgconf-pkg-config 100% | 136.4 KiB/s |   1.8 KiB |  00m00s
[109/171] Installing xxhash-libs-0:0.8. 100% |  89.4 MiB/s |  91.6 KiB |  00m00s
[110/171] Installing libbrotli-0:1.1.0- 100% | 272.0 MiB/s | 835.6 KiB |  00m00s
[111/171] Installing libnghttp2-0:1.66. 100% | 159.5 MiB/s | 163.3 KiB |  00m00s
[112/171] Installing keyutils-libs-0:1. 100% |  58.3 MiB/s |  59.7 KiB |  00m00s
[113/171] Installing libcom_err-0:1.47. 100% |   0.0   B/s |  68.2 KiB |  00m00s
[114/171] Installing libverto-0:0.3.2-1 100% |  26.6 MiB/s |  27.2 KiB |  00m00s
[115/171] Installing rust-srpm-macros-0 100% |   0.0   B/s |   5.6 KiB |  00m00s
[116/171] Installing qt6-srpm-macros-0: 100% |   0.0   B/s | 740.0   B |  00m00s
[117/171] Installing qt5-srpm-macros-0: 100% |   0.0   B/s | 776.0   B |  00m00s
[118/171] Installing perl-srpm-macros-0 100% |   0.0   B/s |   1.1 KiB |  00m00s
[119/171] Installing package-notes-srpm 100% |   0.0   B/s |   2.0 KiB |  00m00s
[120/171] Installing openblas-srpm-macr 100% |   0.0   B/s | 392.0   B |  00m00s
[121/171] Installing ocaml-srpm-macros- 100% |   0.0   B/s |   2.2 KiB |  00m00s
[122/171] Installing kernel-srpm-macros 100% |   0.0   B/s |   2.3 KiB |  00m00s
[123/171] Installing gnat-srpm-macros-0 100% |   0.0   B/s |   1.3 KiB |  00m00s
[124/171] Installing ghc-srpm-macros-0: 100% |   0.0   B/s |   1.0 KiB |  00m00s
[125/171] Installing fpc-srpm-macros-0: 100% |   0.0   B/s | 420.0   B |  00m00s
[126/171] Installing ansible-srpm-macro 100% |  35.4 MiB/s |  36.2 KiB |  00m00s
[127/171] Installing coreutils-common-0 100% | 389.4 MiB/s |  11.3 MiB |  00m00s
[128/171] Installing openssl-libs-1:3.5 100% | 386.2 MiB/s |   8.9 MiB |  00m00s
[129/171] Installing coreutils-0:9.7-3. 100% | 147.2 MiB/s |   5.4 MiB |  00m00s
[130/171] Installing ca-certificates-0: 100% |   1.9 MiB/s |   2.4 MiB |  00m01s
[131/171] Installing libarchive-0:3.8.1 100% | 232.7 MiB/s | 953.1 KiB |  00m00s
[132/171] Installing krb5-libs-0:1.21.3 100% | 114.6 MiB/s |   2.3 MiB |  00m00s
>>> Running sysusers scriptlet: tpm2-tss-0:4.1.3-7.fc43.x86_64                  
>>> Finished sysusers scriptlet: tpm2-tss-0:4.1.3-7.fc43.x86_64                 
>>> Scriptlet output:                                                           
>>> Creating group 'tss' with GID 59.                                           
>>> Creating user 'tss' (Account used for TPM access) with UID 59 and GID 59.   
>>>                                                                             
[133/171] Installing tpm2-tss-0:4.1.3-7 100% | 261.3 MiB/s |   1.6 MiB |  00m00s
[134/171] Installing ima-evm-utils-libs 100% |  60.5 MiB/s |  62.0 KiB |  00m00s
[135/171] Installing gnupg2-gpg-agent-0 100% |  28.7 MiB/s | 675.4 KiB |  00m00s
[136/171] Installing libssh-0:0.11.2-1. 100% | 185.1 MiB/s | 568.8 KiB |  00m00s
[137/171] Installing gzip-0:1.13-3.fc42 100% |  24.3 MiB/s | 398.4 KiB |  00m00s
[138/171] Installing rpm-sequoia-0:1.8. 100% | 357.7 MiB/s |   2.5 MiB |  00m00s
[139/171] Installing rpm-libs-0:5.99.90 100% | 303.2 MiB/s | 931.4 KiB |  00m00s
[140/171] Installing libfsverity-0:1.6- 100% |  32.7 MiB/s |  33.5 KiB |  00m00s
[141/171] Installing libevent-0:2.1.12- 100% | 295.2 MiB/s | 906.9 KiB |  00m00s
[142/171] Installing openldap-0:2.6.10- 100% | 214.7 MiB/s | 659.6 KiB |  00m00s
[143/171] Installing libcurl-0:8.15.0~r 100% | 294.4 MiB/s | 904.5 KiB |  00m00s
[144/171] Installing elfutils-debuginfo 100% |   6.0 MiB/s |  86.2 KiB |  00m00s
[145/171] Installing elfutils-0:0.193-2 100% | 146.1 MiB/s |   2.9 MiB |  00m00s
[146/171] Installing binutils-0:2.44-3. 100% | 312.1 MiB/s |  25.9 MiB |  00m00s
[147/171] Installing gdb-minimal-0:16.3 100% | 270.4 MiB/s |  13.2 MiB |  00m00s
[148/171] Installing debugedit-0:5.1-7. 100% |  13.6 MiB/s | 195.4 KiB |  00m00s
[149/171] Installing curl-0:8.15.0~rc1- 100% |  19.4 MiB/s | 476.2 KiB |  00m00s
[150/171] Installing rpm-0:5.99.90-6.fc 100% |  71.7 MiB/s |   2.5 MiB |  00m00s
[151/171] Installing efi-srpm-macros-0: 100% |  40.2 MiB/s |  41.1 KiB |  00m00s
[152/171] Installing java-srpm-macros-0 100% |   0.0   B/s |   1.1 KiB |  00m00s
[153/171] Installing lua-srpm-macros-0: 100% |   0.0   B/s |   1.9 KiB |  00m00s
[154/171] Installing tree-sitter-srpm-m 100% |   0.0   B/s |   9.3 KiB |  00m00s
[155/171] Installing zig-srpm-macros-0: 100% |   0.0   B/s |   1.7 KiB |  00m00s
[156/171] Installing gnupg2-dirmngr-0:2 100% |  26.4 MiB/s | 621.1 KiB |  00m00s
[157/171] Installing gnupg2-0:2.4.8-2.f 100% | 211.3 MiB/s |   6.6 MiB |  00m00s
[158/171] Installing rpm-sign-libs-0:5. 100% |  39.6 MiB/s |  40.5 KiB |  00m00s
[159/171] Installing rpm-build-libs-0:5 100% | 259.0 MiB/s | 265.2 KiB |  00m00s
[160/171] Installing gpgverify-0:2.1-3. 100% |   0.0   B/s |   9.4 KiB |  00m00s
[161/171] Installing fonts-srpm-macros- 100% |  55.7 MiB/s |  57.0 KiB |  00m00s
[162/171] Installing forge-srpm-macros- 100% |   0.0   B/s |  40.3 KiB |  00m00s
[163/171] Installing go-srpm-macros-0:3 100% |  60.5 MiB/s |  62.0 KiB |  00m00s
[164/171] Installing python-srpm-macros 100% |  51.8 MiB/s |  53.1 KiB |  00m00s
[165/171] Installing redhat-rpm-config- 100% |  91.7 MiB/s | 187.8 KiB |  00m00s
[166/171] Installing rpm-build-0:5.99.9 100% |  17.7 MiB/s | 290.5 KiB |  00m00s
[167/171] Installing pyproject-srpm-mac 100% |   0.0   B/s |   2.5 KiB |  00m00s
[168/171] Installing which-0:2.23-2.fc4 100% |   6.0 MiB/s |  85.7 KiB |  00m00s
[169/171] Installing util-linux-0:2.41. 100% |  93.9 MiB/s |   3.6 MiB |  00m00s
[170/171] Installing shadow-utils-2:4.1 100% | 130.8 MiB/s |   4.1 MiB |  00m00s
[171/171] Installing info-0:7.2-4.fc43. 100% | 200.2 KiB/s | 354.3 KiB |  00m02s
Public key "file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-43-primary" is already present, not importing.
Complete!
Finish: installing minimal buildroot with dnf5
Start: creating root cache
Finish: creating root cache
Finish: chroot init
INFO: Installed packages:
INFO: add-determinism-0.6.0-1.fc43.x86_64
alternatives-1.33-1.fc43.x86_64
ansible-srpm-macros-1-17.1.fc42.noarch
audit-libs-4.0.5-2.fc43.x86_64
bash-5.2.37-3.fc43.x86_64
binutils-2.44-3.fc43.x86_64
build-reproducibility-srpm-macros-0.6.0-1.fc43.noarch
bzip2-1.0.8-20.fc42.x86_64
bzip2-libs-1.0.8-20.fc42.x86_64
ca-certificates-2024.2.69_v8.0.401-5.fc42.noarch
coreutils-9.7-3.fc43.x86_64
coreutils-common-9.7-3.fc43.x86_64
cpio-2.15-2.fc41.x86_64
crypto-policies-20250620-1.git9496ef7.fc43.noarch
curl-8.15.0~rc1-1.fc43.x86_64
cyrus-sasl-lib-2.1.28-30.fc42.x86_64
debugedit-5.1-7.fc43.x86_64
diffutils-3.12-2.fc43.x86_64
dwz-0.16-1.fc43.x86_64
ed-1.21.1-1.fc43.x86_64
efi-srpm-macros-6-3.fc43.noarch
elfutils-0.193-2.fc43.x86_64
elfutils-debuginfod-client-0.193-2.fc43.x86_64
elfutils-default-yama-scope-0.193-2.fc43.noarch
elfutils-libelf-0.193-2.fc43.x86_64
elfutils-libs-0.193-2.fc43.x86_64
fedora-gpg-keys-43-0.2.noarch
fedora-release-43-0.16.noarch
fedora-release-common-43-0.16.noarch
fedora-release-identity-basic-43-0.16.noarch
fedora-repos-43-0.2.noarch
fedora-repos-rawhide-43-0.2.noarch
file-5.46-5.fc43.x86_64
file-libs-5.46-5.fc43.x86_64
filesystem-3.18-44.fc43.x86_64
filesystem-srpm-macros-3.18-44.fc43.noarch
findutils-4.10.0-5.fc42.x86_64
fonts-srpm-macros-2.0.5-22.fc43.noarch
forge-srpm-macros-0.4.0-2.fc42.noarch
fpc-srpm-macros-1.3-14.fc42.noarch
gawk-5.3.2-1.fc43.x86_64
gdb-minimal-16.3-3.fc43.x86_64
gdbm-libs-1.23-9.fc42.x86_64
ghc-srpm-macros-1.9.2-2.fc42.noarch
glibc-2.41.9000-20.fc43.x86_64
glibc-common-2.41.9000-20.fc43.x86_64
glibc-gconv-extra-2.41.9000-20.fc43.x86_64
glibc-minimal-langpack-2.41.9000-20.fc43.x86_64
gmp-6.3.0-3.fc43.x86_64
gnat-srpm-macros-6-7.fc42.noarch
gnupg2-2.4.8-2.fc43.x86_64
gnupg2-dirmngr-2.4.8-2.fc43.x86_64
gnupg2-gpg-agent-2.4.8-2.fc43.x86_64
gnupg2-gpgconf-2.4.8-2.fc43.x86_64
gnupg2-keyboxd-2.4.8-2.fc43.x86_64
gnupg2-verify-2.4.8-2.fc43.x86_64
gnutls-3.8.9-5.fc43.x86_64
go-srpm-macros-3.6.0-7.fc43.noarch
gpg-pubkey-105ef944-65ca83d1
gpg-pubkey-31645531-66b6dccf
gpg-pubkey-6d9f90a6-6786af3b
gpgverify-2.1-3.fc43.noarch
grep-3.12-1.fc43.x86_64
gzip-1.13-3.fc42.x86_64
ima-evm-utils-libs-1.6.2-5.fc43.x86_64
info-7.2-4.fc43.x86_64
jansson-2.14-2.fc42.x86_64
java-srpm-macros-1-4.fc43.noarch
json-c-0.18-2.fc42.x86_64
kernel-srpm-macros-1.0-25.fc42.noarch
keyutils-libs-1.6.3-5.fc42.x86_64
krb5-libs-1.21.3-6.fc43.x86_64
libacl-2.3.2-3.fc42.x86_64
libarchive-3.8.1-1.fc43.x86_64
libassuan-2.5.7-3.fc42.x86_64
libattr-2.5.2-5.fc42.x86_64
libblkid-2.41.1-10.fc43.x86_64
libbrotli-1.1.0-7.fc43.x86_64
libcap-2.76-1.fc43.x86_64
libcap-ng-0.8.5-5.fc43.x86_64
libcom_err-1.47.2-3.fc42.x86_64
libcurl-8.15.0~rc1-1.fc43.x86_64
libeconf-0.7.9-1.fc43.x86_64
libevent-2.1.12-15.fc42.x86_64
libfdisk-2.41.1-10.fc43.x86_64
libffi-3.5.1-1.fc43.x86_64
libfsverity-1.6-2.fc42.x86_64
libgcc-15.1.1-2.fc43.x86_64
libgcrypt-1.11.1-1.fc43.x86_64
libgomp-15.1.1-2.fc43.x86_64
libgpg-error-1.55-1.fc43.x86_64
libidn2-2.3.8-1.fc43.x86_64
libksba-1.6.7-3.fc42.x86_64
liblastlog2-2.41.1-10.fc43.x86_64
libmount-2.41.1-10.fc43.x86_64
libnghttp2-1.66.0-1.fc43.x86_64
libpkgconf-2.3.0-2.fc42.x86_64
libpsl-0.21.5-5.fc42.x86_64
libselinux-3.8-3.fc43.x86_64
libsemanage-3.8.1-3.fc43.x86_64
libsepol-3.8-1.fc42.x86_64
libsmartcols-2.41.1-10.fc43.x86_64
libssh-0.11.2-1.fc43.x86_64
libssh-config-0.11.2-1.fc43.noarch
libstdc++-15.1.1-2.fc43.x86_64
libtasn1-4.20.0-1.fc43.x86_64
libtool-ltdl-2.5.4-4.fc42.x86_64
libunistring-1.1-9.fc42.x86_64
libusb1-1.0.28-2.fc43.x86_64
libuuid-2.41.1-10.fc43.x86_64
libverto-0.3.2-10.fc42.x86_64
libxcrypt-4.4.38-7.fc43.x86_64
libxml2-2.12.10-2.fc43.x86_64
libzstd-1.5.7-1.fc43.x86_64
lua-libs-5.4.8-1.fc43.x86_64
lua-srpm-macros-1-15.fc42.noarch
lz4-libs-1.10.0-2.fc42.x86_64
mpfr-4.2.2-1.fc43.x86_64
ncurses-base-6.5-6.20250614.fc43.noarch
ncurses-libs-6.5-6.20250614.fc43.x86_64
nettle-3.10.1-1.fc43.x86_64
npth-1.8-2.fc42.x86_64
ocaml-srpm-macros-10-4.fc42.noarch
openblas-srpm-macros-2-19.fc42.noarch
openldap-2.6.10-1.fc43.x86_64
openssl-libs-3.5.0-5.fc43.x86_64
p11-kit-0.25.5-8.fc43.x86_64
p11-kit-trust-0.25.5-8.fc43.x86_64
package-notes-srpm-macros-0.5-13.fc42.noarch
pam-libs-1.7.1-1.fc43.x86_64
patch-2.8-1.fc43.x86_64
pcre2-10.45-1.fc43.x86_64
pcre2-syntax-10.45-1.fc43.noarch
perl-srpm-macros-1-57.fc42.noarch
pkgconf-2.3.0-2.fc42.x86_64
pkgconf-m4-2.3.0-2.fc42.noarch
pkgconf-pkg-config-2.3.0-2.fc42.x86_64
popt-1.19-8.fc42.x86_64
publicsuffix-list-dafsa-20250616-1.fc43.noarch
pyproject-srpm-macros-1.18.2-1.fc43.noarch
python-srpm-macros-3.14-1.fc43.noarch
qt5-srpm-macros-5.15.17-1.fc43.noarch
qt6-srpm-macros-6.9.1-1.fc43.noarch
readline-8.2-13.fc43.x86_64
redhat-rpm-config-343-6.fc43.noarch
rpm-5.99.90-6.fc43.x86_64
rpm-build-5.99.90-6.fc43.x86_64
rpm-build-libs-5.99.90-6.fc43.x86_64
rpm-libs-5.99.90-6.fc43.x86_64
rpm-sequoia-1.8.0-1.fc43.x86_64
rpm-sign-libs-5.99.90-6.fc43.x86_64
rust-srpm-macros-26.3-4.fc42.noarch
sed-4.9-4.fc42.x86_64
setup-2.15.0-25.fc43.noarch
shadow-utils-4.17.4-1.fc43.x86_64
sqlite-libs-3.50.0-1.fc43.x86_64
systemd-libs-257.7-1.fc43.x86_64
systemd-standalone-sysusers-257.7-1.fc43.x86_64
tar-1.35-5.fc42.x86_64
tpm2-tss-4.1.3-7.fc43.x86_64
tree-sitter-srpm-macros-0.4.1-1.fc43.noarch
unzip-6.0-66.fc42.x86_64
util-linux-2.41.1-10.fc43.x86_64
util-linux-core-2.41.1-10.fc43.x86_64
which-2.23-2.fc43.x86_64
xxhash-libs-0.8.3-2.fc42.x86_64
xz-5.8.1-1.fc43.x86_64
xz-libs-5.8.1-1.fc43.x86_64
zig-srpm-macros-1-4.fc42.noarch
zip-3.0-43.fc42.x86_64
zlib-ng-compat-2.2.4-2.fc43.x86_64
zstd-1.5.7-1.fc43.x86_64
Start: buildsrpm
Start: rpmbuild -bs
Building target platforms: x86_64
Building for target x86_64
warning: %source_date_epoch_from_changelog is set, but %changelog has no entries to take a date from
Wrote: /builddir/build/SRPMS/R-CRAN-adelie-1.0.8-1.fc43.copr9231810.src.rpm

RPM build warnings:
    %source_date_epoch_from_changelog is set, but %changelog has no entries to take a date from
Finish: rpmbuild -bs
INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan
INFO: /var/lib/mock/fedora-rawhide-x86_64-1751421719.754451/root/var/log/dnf5.log
INFO: chroot_scan: creating tarball /var/lib/copr-rpmbuild/results/chroot_scan.tar.gz
/bin/tar: Removing leading `/' from member names
Finish: buildsrpm
INFO: Done(/var/lib/copr-rpmbuild/workspace/workdir-64vrls4h/R-CRAN-adelie/R-CRAN-adelie.spec) Config(child) 0 minutes 18 seconds
INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results
INFO: Cleaning up build root ('cleanup_on_success=True')
Start: clean chroot
INFO: unmounting tmpfs.
Finish: clean chroot
INFO: Start(/var/lib/copr-rpmbuild/results/R-CRAN-adelie-1.0.8-1.fc43.copr9231810.src.rpm)  Config(fedora-rawhide-x86_64)
Start: chroot init
INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-x86_64-1751421719.754451/root.
INFO: calling preinit hooks
INFO: enabled root cache
Start: unpacking root cache
Finish: unpacking root cache
INFO: enabled package manager cache
Start: cleaning package manager metadata
Finish: cleaning package manager metadata
INFO: enabled HW Info plugin
INFO: Buildroot is handled by package management from host and used with --installroot:
  rpm-4.20.1-1.fc42.x86_64
  rpm-sequoia-1.7.0-5.fc42.x86_64
  python3-dnf-4.23.0-1.fc42.noarch
  python3-dnf-plugins-core-4.10.1-1.fc42.noarch
  dnf5-5.2.13.1-1.fc42.x86_64
  dnf5-plugins-5.2.13.1-1.fc42.x86_64
Finish: chroot init
Start: build phase for R-CRAN-adelie-1.0.8-1.fc43.copr9231810.src.rpm
Start: build setup for R-CRAN-adelie-1.0.8-1.fc43.copr9231810.src.rpm
Building target platforms: x86_64
Building for target x86_64
warning: %source_date_epoch_from_changelog is set, but %changelog has no entries to take a date from
Wrote: /builddir/build/SRPMS/R-CRAN-adelie-1.0.8-1.fc43.copr9231810.src.rpm

RPM build warnings:
    %source_date_epoch_from_changelog is set, but %changelog has no entries to take a date from
Updating and loading repositories:
 fedora                                 100% | 439.6 KiB/s |  27.7 KiB |  00m00s
 Copr repository                        100% |  85.5 KiB/s |   1.5 KiB |  00m00s
Repositories loaded.
Package                      Arch   Version                          Repository      Size
Installing:
 R-CRAN-Matrix               x86_64 1.7.3-1.fc43.copr8927562         copr_base    8.2 MiB
 R-CRAN-Rcpp                 x86_64 1.0.14-1.fc43.copr8922423        copr_base    8.4 MiB
 R-CRAN-RcppEigen            x86_64 0.3.4.0.2-1.fc43.copr8926104     copr_base    9.0 MiB
 R-CRAN-r2r                  noarch 0.1.2-1.fc43.copr8927697         copr_base  197.2 KiB
 R-CRAN-stringr              noarch 1.5.1-1.fc43.copr8930307         copr_base  651.8 KiB
 R-core                      x86_64 4.5.1-1.fc43                     fedora     104.0 MiB
 R-devel                     x86_64 4.5.1-1.fc43                     fedora       0.0   B
Installing dependencies:
 R-CRAN-cli                  x86_64 3.6.5-1.fc43.copr8957462         copr_base    2.4 MiB
 R-CRAN-digest               x86_64 0.6.37-1.fc43.copr8922430        copr_base  491.8 KiB
 R-CRAN-glue                 x86_64 1.8.0-1.fc43.copr8922424         copr_base  345.2 KiB
 R-CRAN-lattice              x86_64 0.22.7-1.fc43.copr8924871        copr_base    2.0 MiB
 R-CRAN-lifecycle            noarch 1.0.4-1.fc43.copr8926745         copr_base  284.1 KiB
 R-CRAN-magrittr             x86_64 2.0.3-1.fc43.copr8922441         copr_base  414.8 KiB
 R-CRAN-rlang                x86_64 1.1.6-1.fc43.copr8922429         copr_base    2.6 MiB
 R-CRAN-stringi              x86_64 1.8.7-1.fc43.copr8922456         copr_base    2.0 MiB
 R-CRAN-vctrs                x86_64 0.6.5-1.fc43.copr8928418         copr_base    2.4 MiB
 R-core-devel                x86_64 4.5.1-1.fc43                     fedora     410.9 KiB
 R-java                      x86_64 4.5.1-1.fc43                     fedora       0.0   B
 R-java-devel                x86_64 4.5.1-1.fc43                     fedora       0.0   B
 R-littler                   x86_64 0.3.19-8.fc43                    fedora     161.9 KiB
 R-rpm-macros                noarch 1.2.1-12.fc42                    fedora       5.6 KiB
 abattis-cantarell-vf-fonts  noarch 0.301-14.fc42                    fedora     192.7 KiB
 alsa-lib                    x86_64 1.2.14-3.fc43                    fedora       1.4 MiB
 annobin-docs                noarch 12.97-1.fc43                     fedora      98.9 KiB
 annobin-plugin-gcc          x86_64 12.97-1.fc43                     fedora     993.6 KiB
 avahi-libs                  x86_64 0.9~rc2-3.fc43                   fedora     171.6 KiB
 bzip2-devel                 x86_64 1.0.8-20.fc42                    fedora     309.8 KiB
 cairo                       x86_64 1.18.4-1.fc43                    fedora       1.8 MiB
 cmake-filesystem            x86_64 3.31.6-3.fc43                    fedora       0.0   B
 cpp                         x86_64 15.1.1-2.fc43                    fedora      37.9 MiB
 cups-filesystem             noarch 1:2.4.12-3.fc43                  fedora       0.0   B
 cups-libs                   x86_64 1:2.4.12-3.fc43                  fedora     618.7 KiB
 dbus-libs                   x86_64 1:1.16.0-3.fc42                  fedora     349.5 KiB
 default-fonts-core-sans     noarch 4.2-4.fc42                       fedora      11.9 KiB
 desktop-file-utils          x86_64 0.28-1.fc43                      fedora     218.4 KiB
 emacs-filesystem            noarch 1:30.0-4.fc42                    fedora       0.0   B
 flexiblas                   x86_64 3.4.5-1.fc43                     fedora      50.4 KiB
 flexiblas-devel             x86_64 3.4.5-1.fc43                     fedora       4.9 MiB
 flexiblas-netlib            x86_64 3.4.5-1.fc43                     fedora      10.9 MiB
 flexiblas-netlib64          x86_64 3.4.5-1.fc43                     fedora      11.0 MiB
 flexiblas-openblas-openmp   x86_64 3.4.5-1.fc43                     fedora      39.2 KiB
 flexiblas-openblas-openmp64 x86_64 3.4.5-1.fc43                     fedora      39.2 KiB
 fontconfig                  x86_64 2.17.0-1.fc43                    fedora     766.1 KiB
 fonts-filesystem            noarch 1:2.0.5-22.fc43                  fedora       0.0   B
 freetype                    x86_64 2.13.3-2.fc42                    fedora     858.2 KiB
 fribidi                     x86_64 1.0.16-2.fc42                    fedora     194.3 KiB
 gcc                         x86_64 15.1.1-2.fc43                    fedora     111.1 MiB
 gcc-c++                     x86_64 15.1.1-2.fc43                    fedora      41.3 MiB
 gcc-gfortran                x86_64 15.1.1-2.fc43                    fedora      40.3 MiB
 gcc-plugin-annobin          x86_64 15.1.1-2.fc43                    fedora      57.2 KiB
 glib2                       x86_64 2.85.1-1.fc43                    fedora      14.7 MiB
 glibc-devel                 x86_64 2.41.9000-20.fc43                fedora       2.3 MiB
 google-noto-fonts-common    noarch 20250501-1.fc43                  fedora      17.7 KiB
 google-noto-sans-vf-fonts   noarch 20250501-1.fc43                  fedora       1.4 MiB
 graphite2                   x86_64 1.3.14-18.fc42                   fedora     195.8 KiB
 harfbuzz                    x86_64 11.2.1-1.fc43                    fedora       2.8 MiB
 java-21-openjdk             x86_64 1:21.0.7.0.6-2.fc43              fedora       1.1 MiB
 java-21-openjdk-devel       x86_64 1:21.0.7.0.6-2.fc43              fedora      11.5 MiB
 java-21-openjdk-headless    x86_64 1:21.0.7.0.6-2.fc43              fedora     197.4 MiB
 javapackages-filesystem     noarch 6.4.0-8.fc43                     fedora       2.0 KiB
 jbigkit-libs                x86_64 2.1-31.fc42                      fedora     121.4 KiB
 kernel-headers              x86_64 6.16.0-0.rc3.31.fc43             fedora       6.7 MiB
 less                        x86_64 678-1.fc43                       fedora     405.8 KiB
 libICE                      x86_64 1.1.2-2.fc42                     fedora     198.4 KiB
 libRmath                    x86_64 4.5.1-1.fc43                     fedora     242.7 KiB
 libRmath-devel              x86_64 4.5.1-1.fc43                     fedora      19.9 KiB
 libSM                       x86_64 1.2.5-2.fc42                     fedora     105.0 KiB
 libX11                      x86_64 1.8.11-1.fc42                    fedora       1.3 MiB
 libX11-common               noarch 1.8.11-1.fc42                    fedora       1.2 MiB
 libX11-devel                x86_64 1.8.11-1.fc42                    fedora       1.0 MiB
 libX11-xcb                  x86_64 1.8.11-1.fc42                    fedora      10.9 KiB
 libXau                      x86_64 1.0.12-2.fc42                    fedora      76.9 KiB
 libXau-devel                x86_64 1.0.12-2.fc42                    fedora       7.5 KiB
 libXcomposite               x86_64 0.4.6-5.fc42                     fedora      44.4 KiB
 libXext                     x86_64 1.3.6-3.fc42                     fedora      90.0 KiB
 libXft                      x86_64 2.3.8-8.fc42                     fedora     168.4 KiB
 libXi                       x86_64 1.8.2-2.fc42                     fedora      84.6 KiB
 libXmu                      x86_64 1.2.1-3.fc42                     fedora     199.3 KiB
 libXrender                  x86_64 0.9.12-2.fc42                    fedora      50.0 KiB
 libXt                       x86_64 1.3.1-2.fc42                     fedora     429.7 KiB
 libXtst                     x86_64 1.2.5-2.fc42                     fedora      33.5 KiB
 libdatrie                   x86_64 0.2.13-11.fc42                   fedora      57.8 KiB
 libdeflate                  x86_64 1.24-1.fc43                      fedora     123.0 KiB
 libdeflate-devel            x86_64 1.24-1.fc43                      fedora      26.0 KiB
 libfontenc                  x86_64 1.1.8-3.fc42                     fedora      70.9 KiB
 libgfortran                 x86_64 15.1.1-2.fc43                    fedora       3.3 MiB
 libicu                      x86_64 76.1-4.fc42                      fedora      36.3 MiB
 libicu-devel                x86_64 76.1-4.fc42                      fedora       5.0 MiB
 libjpeg-turbo               x86_64 3.1.1-1.fc43                     fedora     799.5 KiB
 liblerc                     x86_64 4.0.0-8.fc42                     fedora     636.1 KiB
 libmpc                      x86_64 1.3.1-7.fc42                     fedora     164.5 KiB
 libpng                      x86_64 2:1.6.49-1.fc43                  fedora     237.7 KiB
 libquadmath                 x86_64 15.1.1-2.fc43                    fedora     317.9 KiB
 libquadmath-devel           x86_64 15.1.1-2.fc43                    fedora      22.1 KiB
 libstdc++-devel             x86_64 15.1.1-2.fc43                    fedora      16.1 MiB
 libthai                     x86_64 0.1.29-10.fc42                   fedora     783.4 KiB
 libtiff                     x86_64 4.7.0-3.fc42                     fedora     619.1 KiB
 libtirpc                    x86_64 1.3.6-1.rc3.fc42.2               fedora     199.0 KiB
 libtirpc-devel              x86_64 1.3.6-1.rc3.fc42.2               fedora     251.6 KiB
 libtommath                  x86_64 1.3.1~rc1-5.fc42                 fedora     130.4 KiB
 libwebp                     x86_64 1.5.0-2.fc42                     fedora     947.6 KiB
 libxcb                      x86_64 1.17.0-5.fc42                    fedora       1.1 MiB
 libxcb-devel                x86_64 1.17.0-5.fc42                    fedora       2.7 MiB
 libxcrypt-devel             x86_64 4.4.38-7.fc43                    fedora      30.8 KiB
 libzstd-devel               x86_64 1.5.7-1.fc43                     fedora     208.0 KiB
 lksctp-tools                x86_64 1.0.20-2.fc42                    fedora     250.3 KiB
 lzo                         x86_64 2.10-14.fc42                     fedora     170.9 KiB
 make                        x86_64 1:4.4.1-10.fc42                  fedora       1.8 MiB
 mkfontscale                 x86_64 1.2.3-2.fc42                     fedora      45.0 KiB
 nspr                        x86_64 4.36.0-9.fc43                    fedora     315.5 KiB
 nss                         x86_64 3.112.0-1.fc43                   fedora       1.9 MiB
 nss-softokn                 x86_64 3.112.0-1.fc43                   fedora       1.9 MiB
 nss-softokn-freebl          x86_64 3.112.0-1.fc43                   fedora     848.3 KiB
 nss-sysinit                 x86_64 3.112.0-1.fc43                   fedora      18.1 KiB
 nss-util                    x86_64 3.112.0-1.fc43                   fedora     200.8 KiB
 openblas                    x86_64 0.3.29-1.fc42                    fedora     111.7 KiB
 openblas-openmp             x86_64 0.3.29-1.fc42                    fedora      43.7 MiB
 openblas-openmp64           x86_64 0.3.29-1.fc42                    fedora      43.9 MiB
 pango                       x86_64 1.56.3-1.fc43                    fedora       1.0 MiB
 pcre2-devel                 x86_64 10.45-1.fc43                     fedora       2.1 MiB
 pcre2-utf16                 x86_64 10.45-1.fc43                     fedora     626.3 KiB
 pcre2-utf32                 x86_64 10.45-1.fc43                     fedora     598.2 KiB
 pixman                      x86_64 0.46.2-1.fc43                    fedora     710.3 KiB
 tcl                         x86_64 1:9.0.0-8.fc43                   fedora       4.3 MiB
 tk                          x86_64 1:9.0.0-4.fc43                   fedora       3.8 MiB
 tre                         x86_64 0.8.0-48.20140228gitc2f5d13.fc43 fedora      75.8 KiB
 tre-common                  noarch 0.8.0-48.20140228gitc2f5d13.fc43 fedora      81.0 KiB
 tre-devel                   x86_64 0.8.0-48.20140228gitc2f5d13.fc43 fedora      10.7 KiB
 ttmkfdir                    x86_64 3.0.9-72.fc42                    fedora     118.5 KiB
 tzdata                      noarch 2025b-1.fc43                     fedora       1.6 MiB
 tzdata-java                 noarch 2025b-1.fc43                     fedora     100.1 KiB
 xdg-utils                   noarch 1.2.1-3.fc42                     fedora     346.3 KiB
 xml-common                  noarch 0.6.3-66.fc42                    fedora      78.4 KiB
 xorg-x11-fonts-Type1        noarch 7.5-40.fc42                      fedora     863.3 KiB
 xorg-x11-proto-devel        noarch 2024.1-4.fc42                    fedora       1.7 MiB
 xz-devel                    x86_64 1:5.8.1-1.fc43                   fedora     258.8 KiB
 zlib-ng-compat-devel        x86_64 2.2.4-2.fc43                     fedora     107.0 KiB

Transaction Summary:
 Installing:       137 packages

Total size of inbound packages is 277 MiB. Need to download 277 MiB.
After this operation, 836 MiB extra will be used (install 836 MiB, remove 0 B).
[  1/137] R-CRAN-RcppEigen-0:0.3.4.0.2- 100% |  68.4 MiB/s |   1.4 MiB |  00m00s
[  2/137] R-CRAN-Rcpp-0:1.0.14-1.fc43.c 100% |  72.1 MiB/s |   2.0 MiB |  00m00s
[  3/137] R-CRAN-Matrix-0:1.7.3-1.fc43. 100% | 122.3 MiB/s |   4.4 MiB |  00m00s
[  4/137] R-CRAN-stringr-0:1.5.1-1.fc43 100% |  35.0 MiB/s | 322.7 KiB |  00m00s
[  5/137] R-CRAN-r2r-0:0.1.2-1.fc43.cop 100% |   3.0 MiB/s | 100.0 KiB |  00m00s
[  6/137] R-devel-0:4.5.1-1.fc43.x86_64 100% |  61.3 KiB/s |   8.8 KiB |  00m00s
[  7/137] R-CRAN-lattice-0:0.22.7-1.fc4 100% | 180.7 MiB/s |   1.4 MiB |  00m00s
[  8/137] R-littler-0:0.3.19-8.fc43.x86 100% | 335.6 KiB/s |  70.8 KiB |  00m00s
[  9/137] R-CRAN-digest-0:0.6.37-1.fc43 100% |  56.0 MiB/s | 229.2 KiB |  00m00s
[ 10/137] R-CRAN-rlang-0:1.1.6-1.fc43.c 100% | 280.9 MiB/s |   1.7 MiB |  00m00s
[ 11/137] R-CRAN-glue-0:1.8.0-1.fc43.co 100% |  85.3 MiB/s | 174.7 KiB |  00m00s
[ 12/137] R-CRAN-lifecycle-0:1.0.4-1.fc 100% |  64.1 MiB/s | 131.3 KiB |  00m00s
[ 13/137] R-CRAN-stringi-0:1.8.7-1.fc43 100% | 167.4 MiB/s |   1.0 MiB |  00m00s
[ 14/137] R-CRAN-vctrs-0:0.6.5-1.fc43.c 100% | 257.1 MiB/s |   1.3 MiB |  00m00s
[ 15/137] R-core-devel-0:4.5.1-1.fc43.x 100% | 682.0 KiB/s |  97.5 KiB |  00m00s
[ 16/137] R-java-devel-0:4.5.1-1.fc43.x 100% | 124.4 KiB/s |   8.8 KiB |  00m00s
[ 17/137] R-rpm-macros-0:1.2.1-12.fc42. 100% | 154.4 KiB/s |  11.3 KiB |  00m00s
[ 18/137] flexiblas-netlib-0:3.4.5-1.fc 100% |   4.7 MiB/s |   3.4 MiB |  00m01s
[ 19/137] glib2-0:2.85.1-1.fc43.x86_64  100% |  27.9 MiB/s |   3.1 MiB |  00m00s
[ 20/137] less-0:678-1.fc43.x86_64      100% |   2.8 MiB/s | 195.1 KiB |  00m00s
[ 21/137] cairo-0:1.18.4-1.fc43.x86_64  100% |   3.0 MiB/s | 729.5 KiB |  00m00s
[ 22/137] libRmath-0:4.5.1-1.fc43.x86_6 100% |   1.8 MiB/s | 122.5 KiB |  00m00s
[ 23/137] libX11-0:1.8.11-1.fc42.x86_64 100% |   5.9 MiB/s | 655.3 KiB |  00m00s
[ 24/137] libXmu-0:1.2.1-3.fc42.x86_64  100% |   1.2 MiB/s |  78.7 KiB |  00m00s
[ 25/137] libXt-0:1.3.1-2.fc42.x86_64   100% |   2.2 MiB/s | 181.3 KiB |  00m00s
[ 26/137] libdeflate-0:1.24-1.fc43.x86_ 100% |   1.0 MiB/s |  69.8 KiB |  00m00s
[ 27/137] libjpeg-turbo-0:3.1.1-1.fc43. 100% |   3.2 MiB/s | 236.2 KiB |  00m00s
[ 28/137] libpng-2:1.6.49-1.fc43.x86_64 100% |   1.8 MiB/s | 123.1 KiB |  00m00s
[ 29/137] libtiff-0:4.7.0-3.fc42.x86_64 100% |   3.2 MiB/s | 220.4 KiB |  00m00s
[ 30/137] libtirpc-0:1.3.6-1.rc3.fc42.2 100% |   1.4 MiB/s |  95.5 KiB |  00m00s
[ 31/137] pango-0:1.56.3-1.fc43.x86_64  100% |   4.9 MiB/s | 349.7 KiB |  00m00s
[ 32/137] libicu-0:76.1-4.fc42.x86_64   100% |  28.8 MiB/s |  10.7 MiB |  00m00s
[ 33/137] tcl-1:9.0.0-8.fc43.x86_64     100% |  15.3 MiB/s |   1.2 MiB |  00m00s
[ 34/137] tk-1:9.0.0-4.fc43.x86_64      100% |  22.1 MiB/s |   1.8 MiB |  00m00s
[ 35/137] tre-0:0.8.0-48.20140228gitc2f 100% | 660.1 KiB/s |  43.6 KiB |  00m00s
[ 36/137] tzdata-0:2025b-1.fc43.noarch  100% |   9.3 MiB/s | 714.0 KiB |  00m00s
[ 37/137] xdg-utils-0:1.2.1-3.fc42.noar 100% |   1.1 MiB/s |  79.4 KiB |  00m00s
[ 38/137] R-core-0:4.5.1-1.fc43.x86_64  100% |  38.4 MiB/s |  67.8 MiB |  00m02s
[ 39/137] flexiblas-0:3.4.5-1.fc43.x86_ 100% | 213.4 KiB/s |  26.2 KiB |  00m00s
[ 40/137] flexiblas-openblas-openmp-0:3 100% | 205.4 KiB/s |  17.3 KiB |  00m00s
[ 41/137] R-CRAN-cli-0:3.6.5-1.fc43.cop 100% | 228.2 MiB/s |   1.4 MiB |  00m00s
[ 42/137] libquadmath-0:15.1.1-2.fc43.x 100% |   2.7 MiB/s | 198.1 KiB |  00m00s
[ 43/137] libRmath-devel-0:4.5.1-1.fc43 100% | 230.0 KiB/s |  15.0 KiB |  00m00s
[ 44/137] libgfortran-0:15.1.1-2.fc43.x 100% |  12.3 MiB/s | 957.2 KiB |  00m00s
[ 45/137] R-java-0:4.5.1-1.fc43.x86_64  100% | 143.9 KiB/s |   9.4 KiB |  00m00s
[ 46/137] make-1:4.4.1-10.fc42.x86_64   100% |   8.0 MiB/s | 587.0 KiB |  00m00s
[ 47/137] fontconfig-0:2.17.0-1.fc43.x8 100% |   3.9 MiB/s | 272.4 KiB |  00m00s
[ 48/137] freetype-0:2.13.3-2.fc42.x86_ 100% |   5.8 MiB/s | 415.5 KiB |  00m00s
[ 49/137] java-21-openjdk-devel-1:21.0. 100% |  33.4 MiB/s |   4.9 MiB |  00m00s
[ 50/137] libXext-0:1.3.6-3.fc42.x86_64 100% | 595.1 KiB/s |  39.3 KiB |  00m00s
[ 51/137] libXrender-0:0.9.12-2.fc42.x8 100% | 420.7 KiB/s |  26.9 KiB |  00m00s
[ 52/137] libxcb-0:1.17.0-5.fc42.x86_64 100% |   3.2 MiB/s | 239.0 KiB |  00m00s
[ 53/137] lzo-0:2.10-14.fc42.x86_64     100% |   1.0 MiB/s |  69.0 KiB |  00m00s
[ 54/137] pixman-0:0.46.2-1.fc43.x86_64 100% |   4.2 MiB/s | 292.7 KiB |  00m00s
[ 55/137] libX11-common-0:1.8.11-1.fc42 100% |   2.4 MiB/s | 176.1 KiB |  00m00s
[ 56/137] libICE-0:1.1.2-2.fc42.x86_64  100% |   1.2 MiB/s |  78.8 KiB |  00m00s
[ 57/137] libSM-0:1.2.5-2.fc42.x86_64   100% | 694.4 KiB/s |  44.4 KiB |  00m00s
[ 58/137] jbigkit-libs-0:2.1-31.fc42.x8 100% | 761.7 KiB/s |  53.3 KiB |  00m00s
[ 59/137] liblerc-0:4.0.0-8.fc42.x86_64 100% |   3.1 MiB/s | 216.7 KiB |  00m00s
[ 60/137] libwebp-0:1.5.0-2.fc42.x86_64 100% |   4.5 MiB/s | 320.6 KiB |  00m00s
[ 61/137] fribidi-0:1.0.16-2.fc42.x86_6 100% | 765.2 KiB/s |  53.6 KiB |  00m00s
[ 62/137] libXft-0:2.3.8-8.fc42.x86_64  100% |   1.1 MiB/s |  72.9 KiB |  00m00s
[ 63/137] harfbuzz-0:11.2.1-1.fc43.x86_ 100% |  13.3 MiB/s |   1.1 MiB |  00m00s
[ 64/137] libthai-0:0.1.29-10.fc42.x86_ 100% |   2.9 MiB/s | 211.5 KiB |  00m00s
[ 65/137] libtommath-0:1.3.1~rc1-5.fc42 100% | 990.3 KiB/s |  64.4 KiB |  00m00s
[ 66/137] tre-common-0:0.8.0-48.2014022 100% | 480.5 KiB/s |  31.2 KiB |  00m00s
[ 67/137] desktop-file-utils-0:0.28-1.f 100% | 983.8 KiB/s |  68.9 KiB |  00m00s
[ 68/137] openblas-openmp-0:0.3.29-1.fc 100% |  35.6 MiB/s |   5.4 MiB |  00m00s
[ 69/137] java-21-openjdk-1:21.0.7.0.6- 100% |   2.9 MiB/s | 415.2 KiB |  00m00s
[ 70/137] default-fonts-core-sans-0:4.2 100% | 488.6 KiB/s |  31.3 KiB |  00m00s
[ 71/137] fonts-filesystem-1:2.0.5-22.f 100% | 123.9 KiB/s |   8.7 KiB |  00m00s
[ 72/137] xml-common-0:0.6.3-66.fc42.no 100% | 487.5 KiB/s |  31.2 KiB |  00m00s
[ 73/137] libXau-0:1.0.12-2.fc42.x86_64 100% | 479.9 KiB/s |  33.6 KiB |  00m00s
[ 74/137] graphite2-0:1.3.14-18.fc42.x8 100% |   1.4 MiB/s |  95.8 KiB |  00m00s
[ 75/137] libdatrie-0:0.2.13-11.fc42.x8 100% | 462.3 KiB/s |  32.4 KiB |  00m00s
[ 76/137] emacs-filesystem-1:30.0-4.fc4 100% | 114.9 KiB/s |   7.4 KiB |  00m00s
[ 77/137] alsa-lib-0:1.2.14-3.fc43.x86_ 100% |   7.1 MiB/s | 531.3 KiB |  00m00s
[ 78/137] javapackages-filesystem-0:6.4 100% | 218.7 KiB/s |  14.0 KiB |  00m00s
[ 79/137] lksctp-tools-0:1.0.20-2.fc42. 100% |   1.3 MiB/s |  96.6 KiB |  00m00s
[ 80/137] tzdata-java-0:2025b-1.fc43.no 100% | 726.8 KiB/s |  46.5 KiB |  00m00s
[ 81/137] libXcomposite-0:0.4.6-5.fc42. 100% | 347.2 KiB/s |  24.3 KiB |  00m00s
[ 82/137] libXi-0:1.8.2-2.fc42.x86_64   100% | 623.8 KiB/s |  40.5 KiB |  00m00s
[ 83/137] libXtst-0:1.2.5-2.fc42.x86_64 100% | 286.8 KiB/s |  20.7 KiB |  00m00s
[ 84/137] xorg-x11-fonts-Type1-0:7.5-40 100% |   6.8 MiB/s | 506.4 KiB |  00m00s
[ 85/137] abattis-cantarell-vf-fonts-0: 100% |   1.7 MiB/s | 120.3 KiB |  00m00s
[ 86/137] google-noto-sans-vf-fonts-0:2 100% |   8.2 MiB/s | 614.5 KiB |  00m00s
[ 87/137] java-21-openjdk-headless-1:21 100% |  55.7 MiB/s |  46.0 MiB |  00m01s
[ 88/137] mkfontscale-0:1.2.3-2.fc42.x8 100% | 363.8 KiB/s |  31.6 KiB |  00m00s
[ 89/137] ttmkfdir-0:3.0.9-72.fc42.x86_ 100% | 677.6 KiB/s |  56.2 KiB |  00m00s
[ 90/137] R-CRAN-magrittr-0:2.0.3-1.fc4 100% | 109.4 MiB/s | 224.0 KiB |  00m00s
[ 91/137] libfontenc-0:1.1.8-3.fc42.x86 100% | 506.4 KiB/s |  32.4 KiB |  00m00s
[ 92/137] openblas-0:0.3.29-1.fc42.x86_ 100% | 640.9 KiB/s |  42.3 KiB |  00m00s
[ 93/137] google-noto-fonts-common-0:20 100% | 247.8 KiB/s |  17.3 KiB |  00m00s
[ 94/137] cups-libs-1:2.4.12-3.fc43.x86 100% |   3.8 MiB/s | 262.1 KiB |  00m00s
[ 95/137] cups-filesystem-1:2.4.12-3.fc 100% | 205.3 KiB/s |  13.6 KiB |  00m00s
[ 96/137] avahi-libs-0:0.9~rc2-3.fc43.x 100% | 984.7 KiB/s |  68.9 KiB |  00m00s
[ 97/137] dbus-libs-1:1.16.0-3.fc42.x86 100% |   2.2 MiB/s | 149.4 KiB |  00m00s
[ 98/137] nspr-0:4.36.0-9.fc43.x86_64   100% |   1.9 MiB/s | 137.8 KiB |  00m00s
[ 99/137] nss-0:3.112.0-1.fc43.x86_64   100% |   9.0 MiB/s | 712.1 KiB |  00m00s
[100/137] nss-softokn-0:3.112.0-1.fc43. 100% |   5.8 MiB/s | 415.8 KiB |  00m00s
[101/137] nss-util-0:3.112.0-1.fc43.x86 100% |   1.3 MiB/s |  86.0 KiB |  00m00s
[102/137] nss-sysinit-0:3.112.0-1.fc43. 100% | 275.2 KiB/s |  19.3 KiB |  00m00s
[103/137] nss-softokn-freebl-0:3.112.0- 100% |   4.7 MiB/s | 329.1 KiB |  00m00s
[104/137] bzip2-devel-0:1.0.8-20.fc42.x 100% |   3.0 MiB/s | 213.7 KiB |  00m00s
[105/137] flexiblas-devel-0:3.4.5-1.fc4 100% |   1.7 MiB/s | 122.6 KiB |  00m00s
[106/137] flexiblas-openblas-openmp64-0 100% | 266.1 KiB/s |  17.3 KiB |  00m00s
[107/137] flexiblas-netlib64-0:3.4.5-1. 100% |  27.3 MiB/s |   3.2 MiB |  00m00s
[108/137] openblas-openmp64-0:0.3.29-1. 100% |  24.3 MiB/s |   5.2 MiB |  00m00s
[109/137] libmpc-0:1.3.1-7.fc42.x86_64  100% |   1.0 MiB/s |  70.9 KiB |  00m00s
[110/137] gcc-c++-0:15.1.1-2.fc43.x86_6 100% |  48.4 MiB/s |  15.2 MiB |  00m00s
[111/137] cpp-0:15.1.1-2.fc43.x86_64    100% |  35.9 MiB/s |  12.9 MiB |  00m00s
[112/137] gcc-gfortran-0:15.1.1-2.fc43. 100% |  47.8 MiB/s |  14.4 MiB |  00m00s
[113/137] libX11-devel-0:1.8.11-1.fc42. 100% |  11.8 MiB/s |   1.0 MiB |  00m00s
[114/137] libX11-xcb-0:1.8.11-1.fc42.x8 100% | 179.7 KiB/s |  11.7 KiB |  00m00s
[115/137] gcc-0:15.1.1-2.fc43.x86_64    100% |  54.9 MiB/s |  39.4 MiB |  00m01s
[116/137] libdeflate-devel-0:1.24-1.fc4 100% | 234.6 KiB/s |  18.1 KiB |  00m00s
[117/137] xorg-x11-proto-devel-0:2024.1 100% |   3.2 MiB/s | 300.2 KiB |  00m00s
[118/137] cmake-filesystem-0:3.31.6-3.f 100% | 256.8 KiB/s |  16.4 KiB |  00m00s
[119/137] libtirpc-devel-0:1.3.6-1.rc3. 100% |   1.8 MiB/s | 125.9 KiB |  00m00s
[120/137] libicu-devel-0:76.1-4.fc42.x8 100% |   9.3 MiB/s | 793.6 KiB |  00m00s
[121/137] libzstd-devel-0:1.5.7-1.fc43. 100% | 829.7 KiB/s |  53.1 KiB |  00m00s
[122/137] pcre2-devel-0:10.45-1.fc43.x8 100% |   7.2 MiB/s | 543.4 KiB |  00m00s
[123/137] pcre2-utf32-0:10.45-1.fc43.x8 100% |   3.3 MiB/s | 228.8 KiB |  00m00s
[124/137] tre-devel-0:0.8.0-48.20140228 100% | 180.6 KiB/s |  11.9 KiB |  00m00s
[125/137] pcre2-utf16-0:10.45-1.fc43.x8 100% |   1.7 MiB/s | 241.9 KiB |  00m00s
[126/137] xz-devel-1:5.8.1-1.fc43.x86_6 100% |   1.0 MiB/s |  67.0 KiB |  00m00s
[127/137] zlib-ng-compat-devel-0:2.2.4- 100% | 580.8 KiB/s |  38.3 KiB |  00m00s
[128/137] libxcb-devel-0:1.17.0-5.fc42. 100% |  15.3 MiB/s |   1.4 MiB |  00m00s
[129/137] libquadmath-devel-0:15.1.1-2. 100% | 634.4 KiB/s |  40.6 KiB |  00m00s
[130/137] libstdc++-devel-0:15.1.1-2.fc 100% |  25.3 MiB/s |   2.9 MiB |  00m00s
[131/137] libxcrypt-devel-0:4.4.38-7.fc 100% | 445.1 KiB/s |  29.4 KiB |  00m00s
[132/137] glibc-devel-0:2.41.9000-20.fc 100% |   6.9 MiB/s | 559.8 KiB |  00m00s
[133/137] libXau-devel-0:1.0.12-2.fc42. 100% | 218.9 KiB/s |  14.0 KiB |  00m00s
[134/137] kernel-headers-0:6.16.0-0.rc3 100% |  18.1 MiB/s |   1.7 MiB |  00m00s
[135/137] annobin-plugin-gcc-0:12.97-1. 100% |  10.9 MiB/s | 981.9 KiB |  00m00s
[136/137] gcc-plugin-annobin-0:15.1.1-2 100% | 796.0 KiB/s |  51.7 KiB |  00m00s
[137/137] annobin-docs-0:12.97-1.fc43.n 100% |   1.2 MiB/s |  90.7 KiB |  00m00s
--------------------------------------------------------------------------------
[137/137] Total                         100% |  54.7 MiB/s | 276.6 MiB |  00m05s
Running transaction
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>>> Running pre-transaction scriptlet: java-21-openjdk-headless-1:21.0.7.0.6-2.f
>>> Finished pre-transaction scriptlet: java-21-openjdk-headless-1:21.0.7.0.6-2.
>>> [RPM] /var/lib/mock/fedora-rawhide-x86_64-1751421719.754451/root/var/cache/d
[  2/139] Prepare transaction           100% |   1.1 KiB/s | 137.0   B |  00m00s
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Warning: skipped OpenPGP checks for 14 packages from repository: copr_base
Complete!
Finish: build setup for R-CRAN-adelie-1.0.8-1.fc43.copr9231810.src.rpm
Start: rpmbuild R-CRAN-adelie-1.0.8-1.fc43.copr9231810.src.rpm
Building target platforms: x86_64
Building for target x86_64
warning: %source_date_epoch_from_changelog is set, but %changelog has no entries to take a date from
Executing(%mkbuilddir): /bin/sh -e /var/tmp/rpm-tmp.4wf7pX
Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.3W3pz1
+ umask 022
+ cd /builddir/build/BUILD/R-CRAN-adelie-1.0.8-build
+ cd /builddir/build/BUILD/R-CRAN-adelie-1.0.8-build
+ rm -rf adelie
+ /usr/bin/mkdir -p adelie
+ cd adelie
+ /usr/lib/rpm/rpmuncompress -x /builddir/build/SOURCES/adelie_1.0.8.tar.gz
+ STATUS=0
+ '[' 0 -ne 0 ']'
+ /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w .
+ find -type f -executable -exec grep -Iq . '{}' ';' -exec sed -i -e '$a\' '{}' ';'
+ '[' -d adelie/src ']'
+ find adelie/src -type f -exec sed -i s@/usr/bin/strip@/usr/bin/true@g '{}' ';'
+ '[' -d adelie/src ']'
+ find adelie/src/Makevars adelie/src/Makevars.win -type f -exec sed -i s@-g0@@g '{}' ';'
+ find -type f -executable -exec sed -Ei 's@#!( )*/usr/local/bin@#!/usr/bin@g' '{}' ';'
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.2yuDox
+ umask 022
+ cd /builddir/build/BUILD/R-CRAN-adelie-1.0.8-build
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CFLAGS
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CXXFLAGS
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FFLAGS
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FCFLAGS
+ VALAFLAGS=-g
+ export VALAFLAGS
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn'
+ export RUSTFLAGS
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed  -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ export LDFLAGS
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ export LT_SYS_LIBRARY_PATH
+ CC=gcc
+ export CC
+ CXX=g++
+ export CXX
+ cd adelie
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.6vndxH
+ umask 022
+ cd /builddir/build/BUILD/R-CRAN-adelie-1.0.8-build
+ '[' /builddir/build/BUILD/R-CRAN-adelie-1.0.8-build/BUILDROOT '!=' / ']'
+ rm -rf /builddir/build/BUILD/R-CRAN-adelie-1.0.8-build/BUILDROOT
++ dirname /builddir/build/BUILD/R-CRAN-adelie-1.0.8-build/BUILDROOT
+ mkdir -p /builddir/build/BUILD/R-CRAN-adelie-1.0.8-build
+ mkdir /builddir/build/BUILD/R-CRAN-adelie-1.0.8-build/BUILDROOT
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CFLAGS
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CXXFLAGS
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FFLAGS
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FCFLAGS
+ VALAFLAGS=-g
+ export VALAFLAGS
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn'
+ export RUSTFLAGS
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed  -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ export LDFLAGS
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ export LT_SYS_LIBRARY_PATH
+ CC=gcc
+ export CC
+ CXX=g++
+ export CXX
+ cd adelie
+ mkdir -p /builddir/build/BUILD/R-CRAN-adelie-1.0.8-build/BUILDROOT/usr/local/lib/R/library
+ /usr/bin/R CMD INSTALL -l /builddir/build/BUILD/R-CRAN-adelie-1.0.8-build/BUILDROOT/usr/local/lib/R/library adelie
* installing *source* package ‘adelie’ ...
** this is package ‘adelie’ version ‘1.0.8’
** package ‘adelie’ successfully unpacked and MD5 sums checked
** using staged installation
** libs
using C++ compiler: ‘g++ (GCC) 15.1.1 20250521 (Red Hat 15.1.1-2)’
using C++17
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I../inst/adelie/adelie/src/include -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS  -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include   -fopenmp -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer    -c RcppExports.cpp -o RcppExports.o
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:4:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I../inst/adelie/adelie/src/include -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS  -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include   -fopenmp -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer    -c rcpp_configs.cpp -o rcpp_configs.o
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from decl.h:3,
                 from rcpp_configs.cpp:1:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I../inst/adelie/adelie/src/include -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS  -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include   -fopenmp -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer    -c rcpp_constraint.cpp -o rcpp_constraint.o
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from decl.h:3,
                 from rcpp_constraint.h:2,
                 from rcpp_constraint.cpp:1:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 1, -1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from ‘struct Eigen::internal::traits<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 1, -1, 1, 1, -1>’
   45 | class Array
      |       ^~~~~
../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:179:18:   required from here
  179 |     vec_impute_t _impute;
      |                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 1, -1, 1, 1, -1>’
   45 | class Array
      |       ^~~~~
../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:179:18:   required from here
  179 |     vec_impute_t _impute;
      |                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:329:77:   required from ‘class Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >’
  329 | template<typename TPlainObjectType, int Options, typename StrideType> class Ref<const TPlainObjectType, Options, StrideType>
      |                                                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:216:5:   required from here
  216 |     {
      |     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76:   required from ‘class Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >’
  281 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
      |                                                                            ^~~
../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:76:1:   required from here
   76 | )
      | ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
   45 | class Array
      |       ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49:   required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   24 |                              ? PlainObjectType::ColsAtCompileTime
      |                                                 ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from ‘class Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_io.h:30:5:   required from here
   30 |     {
      |     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
rcpp_io.h:30:5:   required from here
   30 |     {
      |     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49:   required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
   24 |                              ? PlainObjectType::ColsAtCompileTime
      |                                                 ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_matrix.h:452:26:   required from here
  452 |         vec_value_t out(Q.cols());
      |                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
rcpp_matrix.h:452:26:   required from here
  452 |         vec_value_t out(Q.cols());
      |                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:329:77:   required from ‘class Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
  329 | template<typename TPlainObjectType, int Options, typename StrideType> class Ref<const TPlainObjectType, Options, StrideType>
      |                                                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_matrix.h:453:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76:   required from ‘class Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
  281 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
      |                                                                            ^~~
rcpp_matrix.h:518:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1, 1, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:140:18:   required from ‘class adelie_core::matrix::MatrixNaiveBase<double, int>’
  140 |     virtual void sp_tmul(
      |                  ^~~~~~~
rcpp_matrix.h:612:24:   required from here
   27 |         if (!ptr) { \
      |              ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 1> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 1>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
rcpp_matrix.h:711:35:   required from here
  711 |         dense_64F_t outT(rows(), v.rows());
      |                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
rcpp_matrix.h:713:40:   required from here
  713 |         Eigen::Map<rowmat_value_t> out(outT.data(), outT.cols(), outT.rows());
      |                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76:   required from ‘class Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’
  281 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
      |                                                                            ^~~
rcpp_matrix.h:714:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:34:37:   required from ‘class adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>’
   34 |     const Eigen::Map<const dense_t> _mat;   // (n, d) underlying matrix
      |                                     ^~~~
rcpp_matrix.h:756:1:   required from here
  757 |     auto groups() const { return dynamic_cast<matrix_naive_interaction_dense_64F_t&>(*ptr).groups(); }
      |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:977:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
  977 | struct evaluator<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71:   required from ‘struct Eigen::internal::evaluator<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
 1018 |     Flags = evaluator<Map<PlainObjectType, RefOptions, StrideType> >::Flags,
      |                                                                       ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >::match<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >]’
  288 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
      |                                                                                                     ^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.ipp:100:19:   required from ‘std::tuple<long unsigned int, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, double, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, double> > > > adelie_core::io::IOSNPUnphased<MmapPtrType>::write(const Eigen::Ref<const Eigen::Array<signed char, -1, -1, 0, -1, -1> >&, const std::string&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const [with MmapPtrType = std::shared_ptr<char>; std::string = std::__cxx11::basic_string<char>; size_t = long unsigned int]’
  100 |     compute_impute(calldata, impute_method, impute, n_threads);
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_io.h:33:41:   required from here
   33 |         return std::get<0>(base_t::write(calldata8, impute_method, impute, n_threads));
      |                            ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.ipp:3,
                 from rcpp_io.h:4,
                 from rcpp_matrix.h:4,
                 from rcpp_constraint.h:4:
../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.ipp: In instantiation of ‘std::tuple<long unsigned int, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, double, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, double> > > > adelie_core::io::IOSNPUnphased<MmapPtrType>::write(const Eigen::Ref<const Eigen::Array<signed char, -1, -1, 0, -1, -1> >&, const std::string&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const [with MmapPtrType = std::shared_ptr<char>; std::string = std::__cxx11::basic_string<char>; size_t = long unsigned int]’:
rcpp_io.h:33:41:   required from here
   33 |         return std::get<0>(base_t::write(calldata8, impute_method, impute, n_threads));
      |                            ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:74:43: note: initializing argument 3 of ‘void adelie_core::io::compute_impute(const Eigen::Ref<const Eigen::Array<signed char, -1, -1, 0, -1, -1> >&, adelie_core::util::impute_method_type, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)’
   74 |     Eigen::Ref<util::rowvec_type<double>> impute,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:118:45:   required from ‘void adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::mean(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) const [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  118 |         vec_value_t ones = vec_value_t::Ones(weights.size());
      |                            ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
rcpp_matrix.h:723:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:132:35:   required from ‘void adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::var(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) const [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  132 |         out += centers * (centers * sum_w - 2 * m);
      |                           ~~~~~~~~^~~~~~~
rcpp_matrix.h:733:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:132:35:   required from ‘void adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::var(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) const [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  132 |         out += centers * (centers * sum_w - 2 * m);
      |                           ~~~~~~~~^~~~~~~
rcpp_matrix.h:733:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:132:47:   required from ‘void adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::var(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) const [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  132 |         out += centers * (centers * sum_w - 2 * m);
      |                                             ~~^~~
rcpp_matrix.h:733:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:132:43:   required from ‘void adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::var(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) const [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  132 |         out += centers * (centers * sum_w - 2 * m);
      |                          ~~~~~~~~~~~~~~~~~^~~~~~~~
rcpp_matrix.h:733:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:132:24:   required from ‘void adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::var(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) const [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  132 |         out += centers * (centers * sum_w - 2 * m);
      |                ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_matrix.h:733:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_box.hpp:29:28:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:1151:25:   required by substitution of ‘template<class _Tp, class ... _Args> using std::__is_constructible_impl = std::__bool_constant<__is_constructible(_Tp, _Args ...)> [with _Tp = std::__shared_ptr<adelie_core::constraint::ConstraintBase<double, int>, __gnu_cxx::_S_atomic>; _Args = {const std::shared_ptr<adelie_core::constraint::ConstraintBox<double, int> >&}]’
 1151 |       = __bool_constant<__is_constructible(_Tp, _Args...)>;
      |                         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:1156:12:   required from ‘struct std::is_constructible<std::__shared_ptr<adelie_core::constraint::ConstraintBase<double, int>, __gnu_cxx::_S_atomic>, const std::shared_ptr<adelie_core::constraint::ConstraintBox<double, int> >&>’
 1156 |     struct is_constructible
      |            ^~~~~~~~~~~~~~~~
/usr/include/c++/15/bits/shared_ptr.h:178:8:   required by substitution of ‘template<class _Tp> template<class ... _Args> using std::shared_ptr<_Tp>::_Constructible = typename std::enable_if<std::is_constructible<std::__shared_ptr<_Tp>, _Args ...>::value>::type [with _Args = {const std::shared_ptr<adelie_core::constraint::ConstraintBox<double, int> >&}; _Tp = adelie_core::constraint::ConstraintBase<double, int>]’
  178 |         using _Constructible = typename enable_if<
      |               ^~~~~~~~~~~~~~
/usr/include/c++/15/bits/shared_ptr.h:349:9:   required by substitution of ‘template<class _Yp, class> std::shared_ptr<adelie_core::constraint::ConstraintBase<double, int> >::shared_ptr(const std::shared_ptr<_Tp>&) [with _Yp = adelie_core::constraint::ConstraintBox<double, int>; <template-parameter-1-2> = <missing>]’
  349 |                typename = _Constructible<const shared_ptr<_Yp>&>>
      |                ^~~~~~~~
rcpp_constraint.h:95:1:   required from ‘RConstraintBox64::RConstraintBox64(Args&& ...) [with Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, long unsigned int&, double&, long unsigned int&, double&, double&}]’
   41 |             bname(std::make_shared<aname>(std::forward<Args>(args)...)) \
      |                                                                       ^
rcpp_constraint.cpp:20:5:   required from here
   20 |     );
      |     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71:   required from ‘struct Eigen::internal::evaluator<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
 1018 |     Flags = evaluator<Map<PlainObjectType, RefOptions, StrideType> >::Flags,
      |                                                                       ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:128:39:   required from ‘void adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::var(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) const [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  128 |         const auto sum_w = weights.sum();
      |                            ~~~~~~~~~~~^~
rcpp_matrix.h:733:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, 1, -1, 1, 1, -1>; Src = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Func = assign_op<double, double>]’
  883 |   ActualDstType actualDst(dst);
      |                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:371:41:   required from ‘void Eigen::Ref<const TPlainObjectType, Options, StrideType>::construct(const Expression&, Eigen::internal::false_type) [with Expression = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array<double, 1, -1, 1, 1, -1>; int Options = 0; StrideType = Eigen::InnerStride<1>]’
  371 |       internal::call_assignment_no_alias(m_object,expr,internal::assign_op<Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:364:18:   required from ‘void Eigen::Ref<const TPlainObjectType, Options, StrideType>::construct(const Expression&, Eigen::internal::true_type) [with Expression = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array<double, 1, -1, 1, 1, -1>; int Options = 0; StrideType = Eigen::InnerStride<1>]’
  364 |         construct(expr, internal::false_type());
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:345:16:   required from ‘Eigen::Ref<const TPlainObjectType, Options, StrideType>::Ref(const Eigen::DenseBase<OtherDerived>&, typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits<Eigen::Ref<const TPlainObjectType, Options, StrideType> >::match<Derived>::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array<double, 1, -1, 1, 1, -1>; int Options = 0; StrideType = Eigen::InnerStride<1>; typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits<Eigen::Ref<const TPlainObjectType, Options, StrideType> >::match<Derived>::ScalarTypeMatch), Derived>::type = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<Eigen::Ref<const TPlainObjectType, Options, StrideType> >::match<Derived> = Eigen::internal::traits<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >::match<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]’
  345 |       construct(expr.derived(), typename Traits::template match<Derived>::type());
      |       ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_matrix.h:472:24:   required from here
  472 |         return [&]() { ADELIE_CORE_PIMPL_OVERRIDE(rvmul, j, v); }();
      |                                                             ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:128:39:   required from ‘void adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::var(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) const [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  128 |         const auto sum_w = weights.sum();
      |                            ~~~~~~~~~~~^~
rcpp_matrix.h:733:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:72:18:   required from ‘adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::ConstraintOneSided(const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, size_t, typename base_t::value_t, size_t, typename base_t::value_t, typename base_t::value_t) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>]’
   72 |     if ((_sgn.abs() != 1).any()) {
      |          ~~~~~~~~^~
/usr/include/c++/15/bits/stl_construct.h:133:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/bits/shared_ptr_base.h:969:16:   required from ‘std::__shared_count<_Lp>::__shared_count(_Tp*&, std::_Sp_alloc_shared_tag<_Alloc>, _Args&& ...) [with _Tp = adelie_core::constraint::ConstraintOneSided<double, int>; _Alloc = std::allocator<void>; _Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, long unsigned int&, double&, long unsigned int&, double&, double&}; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’
  969 |           auto __pi = ::new (__mem)
      |                       ^~~~~~~~~~~~~
  970 |             _Sp_cp_type(__a._M_a, std::forward<_Args>(__args)...);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/bits/shared_ptr_base.h:1719:14:   required from ‘std::__shared_ptr<_Tp, _Lp>::__shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator<void>; _Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, long unsigned int&, double&, long unsigned int&, double&, double&}; _Tp = adelie_core::constraint::ConstraintOneSided<double, int>; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’
 1719 |         : _M_ptr(), _M_refcount(_M_ptr, __tag, std::forward<_Args>(__args)...)
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/bits/shared_ptr.h:463:59:   required from ‘std::shared_ptr<_Tp>::shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator<void>; _Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, long unsigned int&, double&, long unsigned int&, double&, double&}; _Tp = adelie_core::constraint::ConstraintOneSided<double, int>]’
  463 |         : __shared_ptr<_Tp>(__tag, std::forward<_Args>(__args)...)
      |                                                                  ^
/usr/include/c++/15/bits/shared_ptr.h:1007:14:   required from ‘std::shared_ptr<typename std::enable_if<(! std::is_array<_Tp>::value), _Tp>::type> std::make_shared(_Args&& ...) [with _Tp = adelie_core::constraint::ConstraintOneSided<double, int>; _Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, long unsigned int&, double&, long unsigned int&, double&, double&}; typename enable_if<(! is_array<_Tp>::value), _Tp>::type = adelie_core::constraint::ConstraintOneSided<double, int>]’
 1007 |       return shared_ptr<_Tp>(_Sp_alloc_shared_tag<_Alloc>{__a},
      |              ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1008 |                              std::forward<_Args>(__args)...);
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_constraint.h:97:1:   required from ‘RConstraintOneSided64::RConstraintOneSided64(Args&& ...) [with Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, long unsigned int&, double&, long unsigned int&, double&, double&}]’
   41 |             bname(std::make_shared<aname>(std::forward<Args>(args)...)) \
      |                   ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_constraint.cpp:53:5:   required from here
   53 |     );
      |     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:155:22:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  155 |     if (linear.matrix().norm() <= l1) {
      |         ~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:163:29:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  163 |     Eigen::Map<vec_value_t> grad_prev(buff_ptr, m); buff_ptr += m;
      |                             ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:172:60:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  172 |         mu_resid.matrix() = linear.matrix() - (_sgn * _mu).matrix() * Q;
      |                                               ~~~~~~~~~~~~~^~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:172:69:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  172 |         mu_resid.matrix() = linear.matrix() - (_sgn * _mu).matrix() * Q;
      |                                               ~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:172:45:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  172 |         mu_resid.matrix() = linear.matrix() - (_sgn * _mu).matrix() * Q;
      |                             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:194:21:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  194 |         return (_mu - mu_prev).square().sum();
      |                ~~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:194:38:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  194 |         return (_mu - mu_prev).square().sum();
      |                ~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:206:20:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  206 |         grad.matrix() = (x.matrix() * Q.transpose()).cwiseProduct(_sgn.matrix()) - _b.matrix();
      |         ~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:206:34:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  206 |         grad.matrix() = (x.matrix() * Q.transpose()).cwiseProduct(_sgn.matrix()) - _b.matrix();
      |                          ~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:206:50:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  206 |         grad.matrix() = (x.matrix() * Q.transpose()).cwiseProduct(_sgn.matrix()) - _b.matrix();
      |                                       ~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:206:37:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  206 |         grad.matrix() = (x.matrix() * Q.transpose()).cwiseProduct(_sgn.matrix()) - _b.matrix();
      |                         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:206:78:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  206 |         grad.matrix() = (x.matrix() * Q.transpose()).cwiseProduct(_sgn.matrix()) - _b.matrix();
      |                                                                   ~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>, const Eigen::MatrixWrapper<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>, const Eigen::MatrixWrapper<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>, const Eigen::MatrixWrapper<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>, const Eigen::MatrixWrapper<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>, const Eigen::MatrixWrapper<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:206:66:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  206 |         grad.matrix() = (x.matrix() * Q.transpose()).cwiseProduct(_sgn.matrix()) - _b.matrix();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>, const Eigen::MatrixWrapper<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::MatrixWrapper<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>, const Eigen::MatrixWrapper<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::MatrixWrapper<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>, const Eigen::MatrixWrapper<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::MatrixWrapper<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>, const Eigen::MatrixWrapper<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::MatrixWrapper<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>, const Eigen::MatrixWrapper<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::MatrixWrapper<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:206:82:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  206 |         grad.matrix() = (x.matrix() * Q.transpose()).cwiseProduct(_sgn.matrix()) - _b.matrix();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:209:42:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  209 |         return (grad <= 0).all() && (_mu * grad == 0).all();
      |                                      ~~~~^~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:215:49:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  215 |             std::abs(((_mu-mu_prev) * (grad_prev+_b)).mean())
      |                                       ~~~~~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:215:37:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  215 |             std::abs(((_mu-mu_prev) * (grad_prev+_b)).mean())
      |                      ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:217:49:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  217 |             std::abs(((_mu-mu_prev) * (grad_prev-grad)).mean())
      |                                       ~~~~~~~~~~^~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:217:37:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  217 |             std::abs(((_mu-mu_prev) * (grad_prev-grad)).mean())
      |                      ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:239:40:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  239 |         if (is_in_ellipse) grad_prev = -_b;
      |                                        ^~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:100:16:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::gradient(const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>) const [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  100 |     out = _sgn * mu;
      |           ~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:94:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:109:22:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::project(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>) const [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  109 |     x = _sgn * (_sgn * x).min(_b);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:105:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:109:30:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::project(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>) const [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  109 |     x = _sgn * (_sgn * x).min(_b);
      |                ~~~~~~~~~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:105:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:109:14:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::project(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>) const [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  109 |     x = _sgn * (_sgn * x).min(_b);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:105:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from ‘struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179:   required from ‘struct Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >::CastXpr<double>’
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of ‘template<class NewType> typename Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >::cast() const [with NewType = double]’
   62 | cast() const
      | ^~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:274:60:   required from ‘typename adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::base_t::value_t adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve_zero(const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  274 |     const auto is_b_zero = (_b <= 0).template cast<value_t>();
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:269:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:275:25:   required from ‘typename adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::base_t::value_t adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve_zero(const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  275 |     _mu = (_sgn * v).max(0).min(
      |           ~~~~~~~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:269:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:276:35:   required from ‘typename adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::base_t::value_t adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve_zero(const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  276 |         Configs::max_solver_value * is_b_zero
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:269:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:275:32:   required from ‘typename adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::base_t::value_t adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve_zero(const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  275 |     _mu = (_sgn * v).max(0).min(
      |           ~~~~~~~~~~~~~~~~~~~~~^
  276 |         Configs::max_solver_value * is_b_zero
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  277 |     );
      |     ~                           
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:269:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:278:15:   required from ‘typename adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::base_t::value_t adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve_zero(const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  278 |     return (v - _sgn * _mu).matrix().norm();
      |            ~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:269:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:278:35:   required from ‘typename adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::base_t::value_t adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve_zero(const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  278 |     return (v - _sgn * _mu).matrix().norm();
      |            ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:269:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:277:62:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  277 |         mu_resid.matrix() = linear.matrix() - _ATmu.matrix() * Q;
      |                                               ~~~~~~~~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:277:45:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  277 |         mu_resid.matrix() = linear.matrix() - _ATmu.matrix() * Q;
      |                             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:313:55:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  313 |         const value_t loss = 0.5 * Qmu_resid.square().sum();
      |                                    ~~~~~~~~~~~~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:399:29:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  399 |             std::abs((ATdmu * grad_prev).mean())
      |                      ~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:573:19:   required from ‘typename adelie_core::constraint::ConstraintLinear<AType, IndexType>::base_t::value_t adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve_zero(const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  573 |     Qmu_resid = v - _ATmu;
      |                 ~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:535:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:89)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:89)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:89)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:89)>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:575:59:   required from ‘typename adelie_core::constraint::ConstraintLinear<AType, IndexType>::base_t::value_t adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve_zero(const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  575 |     const auto lower_constraint = vec_value_t::NullaryExpr(_l.size(), [&](auto i) {
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
  576 |         const auto li = _l[i];
      |         ~~~~~~~~~~~~~~~~~~~~~~                             
  577 |         return (li <= 0) ? (-Configs::max_solver_value) : 0;
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  578 |     });
      |     ~~                                                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:535:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:90)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:90)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:90)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:90)>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:579:59:   required from ‘typename adelie_core::constraint::ConstraintLinear<AType, IndexType>::base_t::value_t adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve_zero(const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  579 |     const auto upper_constraint = vec_value_t::NullaryExpr(_u.size(), [&](auto i) {
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
  580 |         const auto ui = _u[i];
      |         ~~~~~~~~~~~~~~~~~~~~~~                             
  581 |         return (ui <= 0) ? Configs::max_solver_value : 0;
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~  
  582 |     });
      |     ~~                                                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:535:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:585:21:   required from ‘typename adelie_core::constraint::ConstraintLinear<AType, IndexType>::base_t::value_t adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve_zero(const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  585 |         _X, v.square().sum(), _A_vars, std::min<size_t>(m, d),
      |             ~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:535:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:615:15:   required from ‘typename adelie_core::constraint::ConstraintLinear<AType, IndexType>::base_t::value_t adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve_zero(const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  615 |     _ATmu = v - Qmu_resid;
      |             ~~^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:535:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:639:16:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::dual(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_index_t>, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>) const [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  639 |     values.head(nnz) = Eigen::Map<const vec_value_t>(
      |     ~~~~~~~~~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:629:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_box.ipp:207:21:   required from ‘void adelie_core::constraint::ConstraintBox<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  207 |             (_mu.max(0) * (grad - _u) == 0).all() &&
      |              ~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_box.ipp:129:1:   required from here
   10 |     ConstraintBox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_box.ipp:207:33:   required from ‘void adelie_core::constraint::ConstraintBox<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  207 |             (_mu.max(0) * (grad - _u) == 0).all() &&
      |                           ~~~~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_box.ipp:129:1:   required from here
   10 |     ConstraintBox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_box.ipp:207:25:   required from ‘void adelie_core::constraint::ConstraintBox<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  207 |             (_mu.max(0) * (grad - _u) == 0).all() &&
      |              ~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_box.ipp:129:1:   required from here
   10 |     ConstraintBox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_box.ipp:208:21:   required from ‘void adelie_core::constraint::ConstraintBox<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  208 |             (_mu.min(0) * (grad + _l) == 0).all()
      |              ~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_box.ipp:129:1:   required from here
   10 |     ConstraintBox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_box.ipp:208:25:   required from ‘void adelie_core::constraint::ConstraintBox<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  208 |             (_mu.min(0) * (grad + _l) == 0).all()
      |              ~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_box.ipp:129:1:   required from here
   10 |     ConstraintBox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_box.ipp:102:14:   required from ‘void adelie_core::constraint::ConstraintBox<ValueType, IndexType>::project(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>) const [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  102 |     x = x.min(_u).max(-_l);
      |         ~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_box.ipp:98:1:   required from here
   10 |     ConstraintBox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_box.ipp:102:22:   required from ‘void adelie_core::constraint::ConstraintBox<ValueType, IndexType>::project(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>) const [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  102 |     x = x.min(_u).max(-_l);
      |         ~~~~~~~~~~~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_box.ipp:98:1:   required from here
   10 |     ConstraintBox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_box.ipp:279:16:   required from ‘typename adelie_core::constraint::ConstraintBox<ValueType, IndexType>::base_t::value_t adelie_core::constraint::ConstraintBox<ValueType, IndexType>::solve_zero(const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  279 |     _mu = v.max(
      |           ~~~~~^
  280 |         (-Configs::max_solver_value) * is_l_zero
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  281 |     ).min(
      |     ~           
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_box.ipp:272:1:   required from here
   10 |     ConstraintBox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_box.ipp:281:10:   required from ‘typename adelie_core::constraint::ConstraintBox<ValueType, IndexType>::base_t::value_t adelie_core::constraint::ConstraintBox<ValueType, IndexType>::solve_zero(const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  279 |     _mu = v.max(
      |           ~~~~~~
  280 |         (-Configs::max_solver_value) * is_l_zero
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  281 |     ).min(
      |     ~~~~~^
  282 |         Configs::max_solver_value * is_u_zero
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  283 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_box.ipp:272:1:   required from here
   10 |     ConstraintBox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_box.ipp:284:28:   required from ‘typename adelie_core::constraint::ConstraintBox<ValueType, IndexType>::base_t::value_t adelie_core::constraint::ConstraintBox<ValueType, IndexType>::solve_zero(const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  284 |     return (v - _mu).matrix().norm();
      |            ~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_box.ipp:272:1:   required from here
   10 |     ConstraintBox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:68:30:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   68 |     Qv.matrix() = v.matrix() * Q.transpose();
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:184:21:   required from ‘adelie_core::constraint::ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)> [with auto:92 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  184 |         _mu = (_sgn * Qv).max(0).min(
      |               ~~~~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:80:33:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   80 |         if (compute_min_mu_resid(Qv, false, true) <= l1 * l1) {
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:184:30:   required from ‘adelie_core::constraint::ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)> [with auto:92 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  184 |         _mu = (_sgn * Qv).max(0).min(
      |               ~~~~~~~~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:80:33:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   80 |         if (compute_min_mu_resid(Qv, false, true) <= l1 * l1) {
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:184:37:   required from ‘adelie_core::constraint::ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)> [with auto:92 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  184 |         _mu = (_sgn * Qv).max(0).min(
      |               ~~~~~~~~~~~~~~~~~~~~~~^
  185 |             Configs::max_solver_value * is_b_zero
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  186 |         );
      |         ~                            
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:80:33:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   80 |         if (compute_min_mu_resid(Qv, false, true) <= l1 * l1) {
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:187:43:   required from ‘adelie_core::constraint::ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)> [with auto:92 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  187 |         const auto mu_resid_norm_sq = (Qv - _sgn * _mu).square().sum();
      |                                       ~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:80:33:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   80 |         if (compute_min_mu_resid(Qv, false, true) <= l1 * l1) {
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:187:63:   required from ‘adelie_core::constraint::ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)> [with auto:92 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  187 |         const auto mu_resid_norm_sq = (Qv - _sgn * _mu).square().sum();
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:80:33:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   80 |         if (compute_min_mu_resid(Qv, false, true) <= l1 * l1) {
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:172:27:   required from ‘adelie_core::constraint::ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)> [with auto:91 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  172 |         mu_resid.matrix() = linear.matrix() - (_sgn * _mu).matrix() * Q;
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:98:25:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   98 |         compute_mu_resid(mu_resid);
      |         ~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:200:28:   required from ‘adelie_core::constraint::ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)> [with auto:93 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; auto:94 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  200 |         return ((_sgn * Qv - _mu) * (_mu - mu_prev)).sum();
      |                 ~~~~~~~~~~~^~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:178:50:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  178 |             const value_t b = compute_backtrack_b(Qv, mu_resid);
      |                               ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:200:35:   required from ‘adelie_core::constraint::ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)> [with auto:93 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; auto:94 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  200 |         return ((_sgn * Qv - _mu) * (_mu - mu_prev)).sum();
      |                ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:178:50:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  178 |             const value_t b = compute_backtrack_b(Qv, mu_resid);
      |                               ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:203:35:   required from ‘adelie_core::constraint::ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)> [with auto:95 = double]’
  203 |         _mu = mu_prev + step_size * (_mu - mu_prev);
      |                         ~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:182:30:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  182 |             compute_backtrack(step_size);
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:203:23:   required from ‘adelie_core::constraint::ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)> [with auto:95 = double]’
  203 |         _mu = mu_prev + step_size * (_mu - mu_prev);
      |               ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:182:30:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  182 |             compute_backtrack(step_size);
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:214:24:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  214 |         hess_buff.array() = Q.array().rowwise() * x_buffer2.sqrt();
      |         ~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:214:36:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  214 |         hess_buff.array() = Q.array().rowwise() * x_buffer2.sqrt();
      |                             ~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:214:65:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  214 |         hess_buff.array() = Q.array().rowwise() * x_buffer2.sqrt();
      |                                                   ~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Replicate<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from ‘class Eigen::Replicate<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1>’
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, const Eigen::Replicate<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, const Eigen::Replicate<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, const Eigen::Replicate<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:214:49:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  214 |         hess_buff.array() = Q.array().rowwise() * x_buffer2.sqrt();
      |                             ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, const Eigen::Replicate<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, const Eigen::Replicate<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, const Eigen::Replicate<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, const Eigen::Replicate<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, const Eigen::Replicate<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:214:49:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  214 |         hess_buff.array() = Q.array().rowwise() * x_buffer2.sqrt();
      |                             ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:218:24:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  218 |         alpha_tmp = (x * x_buffer2) / x_norm;
      |                     ~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:218:37:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  218 |         alpha_tmp = (x * x_buffer2) / x_norm;
      |                     ~~~~~~~~~~~~~~~~^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:219:45:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  219 |         alpha.matrix() = alpha_tmp.matrix() * Q.transpose();
      |                          ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:220:47:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  220 |         const auto kappa = 1 / (x * x_buffer1 * alpha_tmp).sum();
      |                                ~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:222:55:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  222 |         hess_lower.rankUpdate(alpha.matrix().transpose(), l1_kappa_norm);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:225:70:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  225 |         hess.template triangularView<Eigen::Upper>() = hess.transpose();
      |                                                        ~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:228:32:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  228 |         alpha_tmp = x.matrix() * Q;
      |                     ~~~~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:231:33:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  231 |             (alpha_tmp.square() / x_buffer2).sum() - (
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:234:61:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  234 |                 (x_norm * x_norm) / (l1 * kappa) + (x.square() * x_buffer2).sum()
      |                                                     ~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:234:64:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  234 |                 (x_norm * x_norm) / (l1 * kappa) + (x.square() * x_buffer2).sum()
      |                                                    ~~~~~~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:285:17:   required from ‘adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)> [with auto:80 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  285 |         if ((Qv - _ATmu).square().sum() <= l1 * l1) return value_t(0);
      |             ~~~~^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:80:33:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:79&)>; ComputeMinMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>; ComputeBacktrackAType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:83&, const auto:84&)>; ComputeBacktrackType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:85)>; ComputeGradientType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)>; SaveAdditionalPrevType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   80 |         if (compute_min_mu_resid(Qv, false, true) <= l1 * l1) {
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:497:26:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  497 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  498 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  500 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  501 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  502 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  503 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  504 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  505 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  507 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  509 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:285:32:   required from ‘adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)> [with auto:80 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  285 |         if ((Qv - _ATmu).square().sum() <= l1 * l1) return value_t(0);
      |             ~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:80:33:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:79&)>; ComputeMinMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>; ComputeBacktrackAType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:83&, const auto:84&)>; ComputeBacktrackType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:85)>; ComputeGradientType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)>; SaveAdditionalPrevType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   80 |         if (compute_min_mu_resid(Qv, false, true) <= l1 * l1) {
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:497:26:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  497 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  498 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  500 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  501 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  502 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  503 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  504 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  505 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  507 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  509 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:81)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:81)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:81)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:81)>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:287:63:   required from ‘adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)> [with auto:80 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  287 |         const auto lower_constraint = vec_value_t::NullaryExpr(_l.size(), [&](auto i) {
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
  288 |             const auto li = _l[i];
      |             ~~~~~~~~~~~~~~~~~~~~~~                             
  289 |             return (li <= 0) ? (-Configs::max_solver_value) : 0;
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  290 |         });
      |         ~~                                                     
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:80:33:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:79&)>; ComputeMinMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>; ComputeBacktrackAType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:83&, const auto:84&)>; ComputeBacktrackType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:85)>; ComputeGradientType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)>; SaveAdditionalPrevType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   80 |         if (compute_min_mu_resid(Qv, false, true) <= l1 * l1) {
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:497:26:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  497 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  498 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  500 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  501 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  502 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  503 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  504 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  505 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  507 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  509 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:82)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:82)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:82)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:82)>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:291:63:   required from ‘adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)> [with auto:80 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  291 |         const auto upper_constraint = vec_value_t::NullaryExpr(_u.size(), [&](auto i) {
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
  292 |             const auto ui = _u[i];
      |             ~~~~~~~~~~~~~~~~~~~~~~                             
  293 |             return (ui <= 0) ? Configs::max_solver_value : 0;
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~  
  294 |         });
      |         ~~                                                     
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:80:33:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:79&)>; ComputeMinMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>; ComputeBacktrackAType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:83&, const auto:84&)>; ComputeBacktrackType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:85)>; ComputeGradientType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)>; SaveAdditionalPrevType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   80 |         if (compute_min_mu_resid(Qv, false, true) <= l1 * l1) {
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:497:26:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  497 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  498 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  500 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  501 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  502 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  503 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  504 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  505 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  507 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  509 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:277:27:   required from ‘adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:79&)> [with auto:79 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  277 |         mu_resid.matrix() = linear.matrix() - _ATmu.matrix() * Q;
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:98:25:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:79&)>; ComputeMinMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>; ComputeBacktrackAType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:83&, const auto:84&)>; ComputeBacktrackType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:85)>; ComputeGradientType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)>; SaveAdditionalPrevType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   98 |         compute_mu_resid(mu_resid);
      |         ~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:497:26:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  497 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  498 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  500 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  501 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  502 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  503 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  504 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  505 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  507 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  509 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:362:32:   required from ‘adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:83&, const auto:84&)> [with auto:83 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; auto:84 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  362 |         return (mu_resid.matrix() * Q.transpose()).dot(ATdmu.matrix());
      |                 ~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:178:50:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:79&)>; ComputeMinMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>; ComputeBacktrackAType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:83&, const auto:84&)>; ComputeBacktrackType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:85)>; ComputeGradientType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)>; SaveAdditionalPrevType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  178 |             const value_t b = compute_backtrack_b(Qv, mu_resid);
      |                               ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:497:26:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  497 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  498 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  500 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  501 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  502 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  503 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  504 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  505 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  507 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  509 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:362:35:   required from ‘adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:83&, const auto:84&)> [with auto:83 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; auto:84 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  362 |         return (mu_resid.matrix() * Q.transpose()).dot(ATdmu.matrix());
      |                ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:178:50:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:79&)>; ComputeMinMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>; ComputeBacktrackAType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:83&, const auto:84&)>; ComputeBacktrackType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:85)>; ComputeGradientType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)>; SaveAdditionalPrevType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  178 |             const value_t b = compute_backtrack_b(Qv, mu_resid);
      |                               ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:497:26:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  497 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  498 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  500 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  501 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  502 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  503 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  504 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  505 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  507 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  509 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:362:68:   required from ‘adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:83&, const auto:84&)> [with auto:83 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; auto:84 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  362 |         return (mu_resid.matrix() * Q.transpose()).dot(ATdmu.matrix());
      |                                                        ~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:178:50:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:79&)>; ComputeMinMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>; ComputeBacktrackAType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:83&, const auto:84&)>; ComputeBacktrackType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:85)>; ComputeGradientType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)>; SaveAdditionalPrevType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  178 |             const value_t b = compute_backtrack_b(Qv, mu_resid);
      |                               ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:497:26:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  497 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  498 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  500 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  501 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  502 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  503 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  504 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  505 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  507 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  509 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_box.ipp:178:21:   required from ‘adelie_core::constraint::ConstraintBox<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:67&, bool, bool)> [with auto:67 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  178 |         _mu = Qv.max(
      |               ~~~~~~^
  179 |             (-Configs::max_solver_value) * is_l_zero
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  180 |         ).min(
      |         ~            
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:80:33:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintBox<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:66&)>; ComputeMinMuResidType = ConstraintBox<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:67&, bool, bool)>; ComputeBacktrackAType = ConstraintBox<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintBox<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:68&, const auto:69&)>; ComputeBacktrackType = ConstraintBox<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:70)>; ComputeGradientType = ConstraintBox<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintBox<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintBox<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintBox<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:71&, auto:72)>; SaveAdditionalPrevType = ConstraintBox<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   80 |         if (compute_min_mu_resid(Qv, false, true) <= l1 * l1) {
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_box.ipp:234:26:   required from ‘void adelie_core::constraint::ConstraintBox<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  234 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  235 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  236 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  237 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  238 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  239 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  240 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  241 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  242 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  243 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  245 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  246 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_box.ipp:129:1:   required from here
   10 |     ConstraintBox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_box.ipp:180:14:   required from ‘adelie_core::constraint::ConstraintBox<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:67&, bool, bool)> [with auto:67 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  178 |         _mu = Qv.max(
      |               ~~~~~~~
  179 |             (-Configs::max_solver_value) * is_l_zero
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  180 |         ).min(
      |         ~~~~~^
  181 |             Configs::max_solver_value * is_u_zero
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:80:33:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintBox<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:66&)>; ComputeMinMuResidType = ConstraintBox<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:67&, bool, bool)>; ComputeBacktrackAType = ConstraintBox<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintBox<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:68&, const auto:69&)>; ComputeBacktrackType = ConstraintBox<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:70)>; ComputeGradientType = ConstraintBox<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintBox<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintBox<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintBox<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:71&, auto:72)>; SaveAdditionalPrevType = ConstraintBox<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   80 |         if (compute_min_mu_resid(Qv, false, true) <= l1 * l1) {
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_box.ipp:234:26:   required from ‘void adelie_core::constraint::ConstraintBox<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  234 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  235 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  236 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  237 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  238 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  239 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  240 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  241 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  242 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  243 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  245 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  246 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_box.ipp:129:1:   required from here
   10 |     ConstraintBox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_box.ipp:196:28:   required from ‘adelie_core::constraint::ConstraintBox<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:68&, const auto:69&)> [with auto:68 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; auto:69 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  196 |         return ((Qv - _mu) * (_mu - mu_prev)).sum();
      |                ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:178:50:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintBox<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:66&)>; ComputeMinMuResidType = ConstraintBox<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:67&, bool, bool)>; ComputeBacktrackAType = ConstraintBox<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintBox<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:68&, const auto:69&)>; ComputeBacktrackType = ConstraintBox<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:70)>; ComputeGradientType = ConstraintBox<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintBox<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintBox<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintBox<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:71&, auto:72)>; SaveAdditionalPrevType = ConstraintBox<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  178 |             const value_t b = compute_backtrack_b(Qv, mu_resid);
      |                               ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_box.ipp:234:26:   required from ‘void adelie_core::constraint::ConstraintBox<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  234 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  235 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  236 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  237 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  238 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  239 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  240 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  241 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  242 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  243 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  245 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  246 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_box.ipp:129:1:   required from here
   10 |     ConstraintBox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:155:29:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  155 |     if (linear.matrix().norm() <= l1) {
      |         ~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:340:101:   required by substitution of ‘template<class Derived> Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Derived>::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >]’
  340 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::ScalarTypeMatch),Derived>::type* = 0)
      |                                                                                                     ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:94:59:   required from ‘Eigen::Product<Lhs, Rhs, Option>::Product(const Lhs&, const Rhs&) [with _Lhs = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; _Rhs = Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >; int Option = 0; Lhs = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Rhs = Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >]’
   94 |     Product(const Lhs& lhs, const Rhs& rhs) : m_lhs(lhs), m_rhs(rhs)
      |                                                           ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:424:10:   required from ‘const Eigen::Product<Derived, OtherDerived> Eigen::MatrixBase<Derived>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
  424 |   return Product<Derived, OtherDerived>(derived(), other.derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:206:37:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  206 |         grad.matrix() = (x.matrix() * Q.transpose()).cwiseProduct(_sgn.matrix()) - _b.matrix();
      |                         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/optimization/nnqp_full.hpp:169:45:   required from ‘void adelie_core::optimization::StateNNQPFull<MatrixType, true>::solve() [with MatrixType = Eigen::Matrix<double, -1, -1>]’
  169 |                     grad -= del * quad.array().col(i);
      |                                   ~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:232:25:   required from ‘adelie_core::constraint::ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)> [with auto:96 = Eigen::Map<Eigen::Matrix<double, -1, -1> >; auto:97 = double]’
  232 |         state_nnqp.solve();
      |         ~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:240:37:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  240 |         compute_proximal_newton_step(hess, var);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/optimization/nnqp_full.hpp:169:51:   required from ‘void adelie_core::optimization::StateNNQPFull<MatrixType, true>::solve() [with MatrixType = Eigen::Matrix<double, -1, -1>]’
  169 |                     grad -= del * quad.array().col(i);
      |                                   ~~~~~~~~~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:232:25:   required from ‘adelie_core::constraint::ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)> [with auto:96 = Eigen::Map<Eigen::Matrix<double, -1, -1> >; auto:97 = double]’
  232 |         state_nnqp.solve();
      |         ~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:240:37:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  240 |         compute_proximal_newton_step(hess, var);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/optimization/nnqp_full.hpp:169:33:   required from ‘void adelie_core::optimization::StateNNQPFull<MatrixType, true>::solve() [with MatrixType = Eigen::Matrix<double, -1, -1>]’
  169 |                     grad -= del * quad.array().col(i);
      |                             ~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:232:25:   required from ‘adelie_core::constraint::ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)> [with auto:96 = Eigen::Map<Eigen::Matrix<double, -1, -1> >; auto:97 = double]’
  232 |         state_nnqp.solve();
      |         ~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:240:37:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  240 |         compute_proximal_newton_step(hess, var);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/optimization/nnqp_full.hpp:169:33:   required from ‘void adelie_core::optimization::StateNNQPFull<MatrixType, true>::solve() [with MatrixType = Eigen::Matrix<double, -1, -1>]’
  169 |                     grad -= del * quad.array().col(i);
      |                             ~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:232:25:   required from ‘adelie_core::constraint::ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)> [with auto:96 = Eigen::Map<Eigen::Matrix<double, -1, -1> >; auto:97 = double]’
  232 |         state_nnqp.solve();
      |         ~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:240:37:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  240 |         compute_proximal_newton_step(hess, var);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:278:42:   required from ‘typename adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::base_t::value_t adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve_zero(const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  278 |     return (v - _sgn * _mu).matrix().norm();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:269:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:438:39:   required from ‘adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)>::<lambda(auto:88)> [with auto:88 = long int]’
  438 |                 auto AS_i = screen_AS.row(i);
      |                             ~~~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)>::<lambda(auto:88)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:444:35:   required from ‘adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)> [with auto:86 = Eigen::Map<Eigen::Matrix<double, -1, -1> >; auto:87 = double]’
  444 |             util::omp_parallel_for(screen_invariance, 0, active_size, _n_threads * (n_bytes > Configs::min_bytes));
      |             ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:240:37:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:79&)>; ComputeMinMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>; ComputeBacktrackAType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:83&, const auto:84&)>; ComputeBacktrackType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:85)>; ComputeGradientType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)>; SaveAdditionalPrevType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  240 |         compute_proximal_newton_step(hess, var);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:497:26:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  497 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  498 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  500 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  501 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  502 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  503 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  504 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  505 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  507 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  509 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:277:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >::match<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>]’
  288 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
      |                                                                                                     ^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:439:21:   required from ‘adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)>::<lambda(auto:88)> [with auto:88 = long int]’
  439 |                 _A->rmmul_safe(i, hess, AS_i);
      |                 ~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)>::<lambda(auto:88)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:444:35:   required from ‘adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)> [with auto:86 = Eigen::Map<Eigen::Matrix<double, -1, -1> >; auto:87 = double]’
  444 |             util::omp_parallel_for(screen_invariance, 0, active_size, _n_threads * (n_bytes > Configs::min_bytes));
      |             ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:240:37:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:79&)>; ComputeMinMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>; ComputeBacktrackAType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:83&, const auto:84&)>; ComputeBacktrackType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:85)>; ComputeGradientType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)>; SaveAdditionalPrevType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  240 |         compute_proximal_newton_step(hess, var);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:497:26:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  497 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  498 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  500 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  501 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  502 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  503 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  504 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  505 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  507 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  509 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_box.ipp:284:35:   required from ‘typename adelie_core::constraint::ConstraintBox<ValueType, IndexType>::base_t::value_t adelie_core::constraint::ConstraintBox<ValueType, IndexType>::solve_zero(const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  284 |     return (v - _mu).matrix().norm();
      |            ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_box.ipp:272:1:   required from here
   10 |     ConstraintBox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:73:20:   required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; VType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; ValueType = double; XType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; InitialType = newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>; size_t = long unsigned int]’
   73 |         x = v / (L + l2);
      |                 ~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:138:23:   required from ‘void adelie_core::bcd::unconstrained::newton_solver(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; VType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; ValueType = double; XType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’
  138 |     newton_solver_base(
      |     ~~~~~~~~~~~~~~~~~~^
  139 |         L, v, l1, l2, tol, max_iters, initial_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  140 |         x, iters, buffer1, buffer2
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~
  141 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:89:42:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   89 |         bcd::unconstrained::newton_solver(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   90 |             quad, mu_resid, l1, l2, _newton_tol, _newton_max_iters,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   91 |             x, x_iters, x_buffer1, x_buffer2
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |         );
      |         ~                                 
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:73:15:   required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; VType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; ValueType = double; XType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; InitialType = newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>; size_t = long unsigned int]’
   73 |         x = v / (L + l2);
      |             ~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:138:23:   required from ‘void adelie_core::bcd::unconstrained::newton_solver(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; VType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; ValueType = double; XType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’
  138 |     newton_solver_base(
      |     ~~~~~~~~~~~~~~~~~~^
  139 |         L, v, l1, l2, tol, max_iters, initial_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  140 |         x, iters, buffer1, buffer2
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~
  141 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:89:42:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   89 |         bcd::unconstrained::newton_solver(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   90 |             quad, mu_resid, l1, l2, _newton_tol, _newton_max_iters,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   91 |             x, x_iters, x_buffer1, x_buffer2
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |         );
      |         ~                                 
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:78:33:   required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; VType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; ValueType = double; XType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; InitialType = newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>; size_t = long unsigned int]’
   78 |     auto vbuffer1 = buffer1.head(L.size());
      |                     ~~~~~~~~~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:138:23:   required from ‘void adelie_core::bcd::unconstrained::newton_solver(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; VType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; ValueType = double; XType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’
  138 |     newton_solver_base(
      |     ~~~~~~~~~~~~~~~~~~^
  139 |         L, v, l1, l2, tol, max_iters, initial_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  140 |         x, iters, buffer1, buffer2
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~
  141 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:89:42:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   89 |         bcd::unconstrained::newton_solver(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   90 |             quad, mu_resid, l1, l2, _newton_tol, _newton_max_iters,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   91 |             x, x_iters, x_buffer1, x_buffer2
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |         );
      |         ~                                 
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:85:28:   required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; VType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; ValueType = double; XType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; InitialType = newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>; size_t = long unsigned int]’
   85 |         x = (v * vbuffer2).square();
      |             ~~~~~~~~~~~~~~~^~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:138:23:   required from ‘void adelie_core::bcd::unconstrained::newton_solver(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; VType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; ValueType = double; XType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’
  138 |     newton_solver_base(
      |     ~~~~~~~~~~~~~~~~~~^
  139 |         L, v, l1, l2, tol, max_iters, initial_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  140 |         x, iters, buffer1, buffer2
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~
  141 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:89:42:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   89 |         bcd::unconstrained::newton_solver(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   90 |             quad, mu_resid, l1, l2, _newton_tol, _newton_max_iters,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   91 |             x, x_iters, x_buffer1, x_buffer2
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |         );
      |         ~                                 
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:85:11:   required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; VType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; ValueType = double; XType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; InitialType = newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>; size_t = long unsigned int]’
   85 |         x = (v * vbuffer2).square();
      |         ~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:138:23:   required from ‘void adelie_core::bcd::unconstrained::newton_solver(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; VType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; ValueType = double; XType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’
  138 |     newton_solver_base(
      |     ~~~~~~~~~~~~~~~~~~^
  139 |         L, v, l1, l2, tol, max_iters, initial_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  140 |         x, iters, buffer1, buffer2
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~
  141 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:89:42:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   89 |         bcd::unconstrained::newton_solver(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   90 |             quad, mu_resid, l1, l2, _newton_tol, _newton_max_iters,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   91 |             x, x_iters, x_buffer1, x_buffer2
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |         );
      |         ~                                 
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, Eigen::internal::IndexBased, double>’
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >]’
  288 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
      |                                                                                                     ^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:85:11:   required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; VType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; ValueType = double; XType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; InitialType = newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>; size_t = long unsigned int]’
   85 |         x = (v * vbuffer2).square();
      |         ~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:138:23:   required from ‘void adelie_core::bcd::unconstrained::newton_solver(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; VType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; ValueType = double; XType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’
  138 |     newton_solver_base(
      |     ~~~~~~~~~~~~~~~~~~^
  139 |         L, v, l1, l2, tol, max_iters, initial_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  140 |         x, iters, buffer1, buffer2
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~
  141 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:89:42:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   89 |         bcd::unconstrained::newton_solver(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   90 |             quad, mu_resid, l1, l2, _newton_tol, _newton_max_iters,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   91 |             x, x_iters, x_buffer1, x_buffer2
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |         );
      |         ~                                 
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:90:26:   required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; VType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; ValueType = double; XType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; InitialType = newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>; size_t = long unsigned int]’
   89 |         const auto dfh = -(
      |                           ~
   90 |             x * vbuffer1 * vbuffer2
      |             ~~~~~~~~~~~~~^~~~~~~~~~
   91 |         ).sum() * (1 + sqrt_t) / t;
      |         ~                 
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:138:23:   required from ‘void adelie_core::bcd::unconstrained::newton_solver(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; VType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; ValueType = double; XType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’
  138 |     newton_solver_base(
      |     ~~~~~~~~~~~~~~~~~~^
  139 |         L, v, l1, l2, tol, max_iters, initial_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  140 |         x, iters, buffer1, buffer2
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~
  141 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:89:42:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   89 |         bcd::unconstrained::newton_solver(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   90 |             quad, mu_resid, l1, l2, _newton_tol, _newton_max_iters,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   91 |             x, x_iters, x_buffer1, x_buffer2
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |         );
      |         ~                                 
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:91:11:   required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; VType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; ValueType = double; XType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; InitialType = newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>; size_t = long unsigned int]’
   89 |         const auto dfh = -(
      |                           ~
   90 |             x * vbuffer1 * vbuffer2
      |             ~~~~~~~~~~~~~~~~~~~~~~~
   91 |         ).sum() * (1 + sqrt_t) / t;
      |         ~~^~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:138:23:   required from ‘void adelie_core::bcd::unconstrained::newton_solver(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; VType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; ValueType = double; XType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’
  138 |     newton_solver_base(
      |     ~~~~~~~~~~~~~~~~~~^
  139 |         L, v, l1, l2, tol, max_iters, initial_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  140 |         x, iters, buffer1, buffer2
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~
  141 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:89:42:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   89 |         bcd::unconstrained::newton_solver(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   90 |             quad, mu_resid, l1, l2, _newton_tol, _newton_max_iters,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   91 |             x, x_iters, x_buffer1, x_buffer2
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |         );
      |         ~                                 
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:84:34:   required from ‘adelie_core::bcd::unconstrained::newton_solver_base<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()> >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:59)> [with auto:59 = double]’
   84 |         vbuffer2 = 1 / (vbuffer1 * h + l1);
      |                         ~~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/optimization/newton.hpp:51:35:   required from ‘auto adelie_core::optimization::newton_root_find(InitialType, StepType, ProjectType, ValueType, size_t) [with InitialType = adelie_core::bcd::unconstrained::newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>; StepType = adelie_core::bcd::unconstrained::newton_solver_base<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()> >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:59)>; ProjectType = adelie_core::bcd::unconstrained::newton_solver_base<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()> >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:60)>; ValueType = double; size_t = long unsigned int]’
   51 |     const auto step_state = step_f(h);
      |                             ~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:99:64:   required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; VType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; ValueType = double; XType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; InitialType = newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>; size_t = long unsigned int]’
   99 |     const auto root_find_state = optimization::newton_root_find(
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  100 |         initial_f,
      |         ~~~~~~~~~~                                              
  101 |         step_f,
      |         ~~~~~~~                                                 
  102 |         project_f,
      |         ~~~~~~~~~~                                              
  103 |         tol,
      |         ~~~~                                                    
  104 |         max_iters
      |         ~~~~~~~~~                                               
  105 |     );
      |     ~                                                           
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:138:23:   required from ‘void adelie_core::bcd::unconstrained::newton_solver(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; VType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; ValueType = double; XType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’
  138 |     newton_solver_base(
      |     ~~~~~~~~~~~~~~~~~~^
  139 |         L, v, l1, l2, tol, max_iters, initial_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  140 |         x, iters, buffer1, buffer2
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~
  141 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:89:42:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   89 |         bcd::unconstrained::newton_solver(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   90 |             quad, mu_resid, l1, l2, _newton_tol, _newton_max_iters,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   91 |             x, x_iters, x_buffer1, x_buffer2
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |         );
      |         ~                                 
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:84:38:   required from ‘adelie_core::bcd::unconstrained::newton_solver_base<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()> >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:59)> [with auto:59 = double]’
   84 |         vbuffer2 = 1 / (vbuffer1 * h + l1);
      |                        ~~~~~~~~~~~~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/optimization/newton.hpp:51:35:   required from ‘auto adelie_core::optimization::newton_root_find(InitialType, StepType, ProjectType, ValueType, size_t) [with InitialType = adelie_core::bcd::unconstrained::newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>; StepType = adelie_core::bcd::unconstrained::newton_solver_base<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()> >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:59)>; ProjectType = adelie_core::bcd::unconstrained::newton_solver_base<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()> >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:60)>; ValueType = double; size_t = long unsigned int]’
   51 |     const auto step_state = step_f(h);
      |                             ~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:99:64:   required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; VType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; ValueType = double; XType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; InitialType = newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>; size_t = long unsigned int]’
   99 |     const auto root_find_state = optimization::newton_root_find(
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  100 |         initial_f,
      |         ~~~~~~~~~~                                              
  101 |         step_f,
      |         ~~~~~~~                                                 
  102 |         project_f,
      |         ~~~~~~~~~~                                              
  103 |         tol,
      |         ~~~~                                                    
  104 |         max_iters
      |         ~~~~~~~~~                                               
  105 |     );
      |     ~                                                           
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:138:23:   required from ‘void adelie_core::bcd::unconstrained::newton_solver(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; VType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; ValueType = double; XType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’
  138 |     newton_solver_base(
      |     ~~~~~~~~~~~~~~~~~~^
  139 |         L, v, l1, l2, tol, max_iters, initial_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  140 |         x, iters, buffer1, buffer2
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~
  141 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:89:42:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   89 |         bcd::unconstrained::newton_solver(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   90 |             quad, mu_resid, l1, l2, _newton_tol, _newton_max_iters,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   91 |             x, x_iters, x_buffer1, x_buffer2
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |         );
      |         ~                                 
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:84:22:   required from ‘adelie_core::bcd::unconstrained::newton_solver_base<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()> >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:59)> [with auto:59 = double]’
   84 |         vbuffer2 = 1 / (vbuffer1 * h + l1);
      |                    ~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/optimization/newton.hpp:51:35:   required from ‘auto adelie_core::optimization::newton_root_find(InitialType, StepType, ProjectType, ValueType, size_t) [with InitialType = adelie_core::bcd::unconstrained::newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>; StepType = adelie_core::bcd::unconstrained::newton_solver_base<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()> >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:59)>; ProjectType = adelie_core::bcd::unconstrained::newton_solver_base<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()> >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:60)>; ValueType = double; size_t = long unsigned int]’
   51 |     const auto step_state = step_f(h);
      |                             ~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:99:64:   required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; VType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; ValueType = double; XType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; InitialType = newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>; size_t = long unsigned int]’
   99 |     const auto root_find_state = optimization::newton_root_find(
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  100 |         initial_f,
      |         ~~~~~~~~~~                                              
  101 |         step_f,
      |         ~~~~~~~                                                 
  102 |         project_f,
      |         ~~~~~~~~~~                                              
  103 |         tol,
      |         ~~~~                                                    
  104 |         max_iters
      |         ~~~~~~~~~                                               
  105 |     );
      |     ~                                                           
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:138:23:   required from ‘void adelie_core::bcd::unconstrained::newton_solver(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; VType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; ValueType = double; XType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’
  138 |     newton_solver_base(
      |     ~~~~~~~~~~~~~~~~~~^
  139 |         L, v, l1, l2, tol, max_iters, initial_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  140 |         x, iters, buffer1, buffer2
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~
  141 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:89:42:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   89 |         bcd::unconstrained::newton_solver(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   90 |             quad, mu_resid, l1, l2, _newton_tol, _newton_max_iters,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   91 |             x, x_iters, x_buffer1, x_buffer2
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |         );
      |         ~                                 
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:109:11:   required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; VType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; ValueType = double; XType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; InitialType = newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>; size_t = long unsigned int]’
  109 |     x = h * v * vbuffer2;
      |         ~~^~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:138:23:   required from ‘void adelie_core::bcd::unconstrained::newton_solver(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; VType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; ValueType = double; XType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’
  138 |     newton_solver_base(
      |     ~~~~~~~~~~~~~~~~~~^
  139 |         L, v, l1, l2, tol, max_iters, initial_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  140 |         x, iters, buffer1, buffer2
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~
  141 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:89:42:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   89 |         bcd::unconstrained::newton_solver(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   90 |             quad, mu_resid, l1, l2, _newton_tol, _newton_max_iters,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   91 |             x, x_iters, x_buffer1, x_buffer2
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |         );
      |         ~                                 
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:109:15:   required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; VType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; ValueType = double; XType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; InitialType = newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>; size_t = long unsigned int]’
  109 |     x = h * v * vbuffer2;
      |         ~~~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:138:23:   required from ‘void adelie_core::bcd::unconstrained::newton_solver(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; VType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; ValueType = double; XType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’
  138 |     newton_solver_base(
      |     ~~~~~~~~~~~~~~~~~~^
  139 |         L, v, l1, l2, tol, max_iters, initial_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  140 |         x, iters, buffer1, buffer2
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~
  141 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:89:42:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   89 |         bcd::unconstrained::newton_solver(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   90 |             quad, mu_resid, l1, l2, _newton_tol, _newton_max_iters,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   91 |             x, x_iters, x_buffer1, x_buffer2
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |         );
      |         ~                                 
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:99:61:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   99 |         const value_t mu_resid_norm = mu_resid.matrix().norm();
      |                                       ~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:112:37:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  112 |             x_norm = x.matrix().norm();
      |                      ~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:210:21:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  210 |         hess.setZero();
      |         ~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   required from ‘struct Eigen::internal::blas_traits<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
  506 |     >::type DirectLinearAccessType;
      |             ^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:57:62:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, true>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; int UpLo = 1; typename MatrixType::Scalar = double]’
   57 |     typedef typename OtherBlasTraits::DirectLinearAccessType ActualOtherType;
      |                                                              ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:222:30:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  222 |         hess_lower.rankUpdate(alpha.matrix().transpose(), l1_kappa_norm);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:73:7:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, true>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; int UpLo = 1; typename MatrixType::Scalar = double]’
   73 |       Map<typename _ActualOtherType::PlainObject>(actualOtherPtr, actualOther.size()) = actualOther;
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:222:30:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  222 |         hess_lower.rankUpdate(alpha.matrix().transpose(), l1_kappa_norm);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:73:7:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, true>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; int UpLo = 1; typename MatrixType::Scalar = double]’
   73 |       Map<typename _ActualOtherType::PlainObject>(actualOtherPtr, actualOther.size()) = actualOther;
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:222:30:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  222 |         hess_lower.rankUpdate(alpha.matrix().transpose(), l1_kappa_norm);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, -1>’
  178 | class Matrix
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:386:23:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  386 |         grad.matrix() = x.matrix() * Q.transpose();
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; U = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; Derived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:362:55:   required from ‘adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:83&, const auto:84&)> [with auto:83 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; auto:84 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  362 |         return (mu_resid.matrix() * Q.transpose()).dot(ATdmu.matrix());
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:178:50:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:79&)>; ComputeMinMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>; ComputeBacktrackAType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:83&, const auto:84&)>; ComputeBacktrackType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:85)>; ComputeGradientType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)>; SaveAdditionalPrevType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  178 |             const value_t b = compute_backtrack_b(Qv, mu_resid);
      |                               ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:497:26:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  497 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  498 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  500 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  501 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  502 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  503 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  504 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  505 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  507 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  509 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_bvls.hpp:269:17:   required from ‘bool adelie_core::solver::bvls::kkt_screen(StateType&&, const LowerType&, const UpperType&, const WeightsType&, ViolsOrderType&) [with StateType = adelie_core::optimization::StateNNLS<adelie_core::constraint::linear::MatrixConstraintNNLS<adelie_core::matrix::MatrixConstraintBase<double, int> >, double, int, bool>&; LowerType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:89)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; UpperType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:90)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; WeightsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >; ViolsOrderType = Eigen::Array<int, 1, -1, 1, 1, -1>]’
  269 |         grad.max(0) * (beta < upper).template cast<value_t>()
      |         ~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_bvls.hpp:343:43:   required from ‘void adelie_core::solver::bvls::solve(StateType&&, const LowerType&, const UpperType&, const WeightsType&, EarlyExitType, CheckUserInterruptType) [with StateType = adelie_core::optimization::StateNNLS<adelie_core::constraint::linear::MatrixConstraintNNLS<adelie_core::matrix::MatrixConstraintBase<double, int> >, double, int, bool>&; LowerType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:89)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; UpperType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:90)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; WeightsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >; EarlyExitType = adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; CheckUserInterruptType = adelie_core::util::no_op]’
  343 |         const bool kkt_passed = kkt_screen(
      |                                 ~~~~~~~~~~^
  344 |             state, lower, upper, weights, viols_order
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  345 |         );
      |         ~                                  
../inst/adelie/adelie/src/include/adelie_core/optimization/nnls.hpp:151:28:   required from ‘void adelie_core::optimization::StateNNLS<MatrixType, ValueType, IndexType, BoolType>::solve(EarlyExitType, LowerType, UpperType) [with EarlyExitType = adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; LowerType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:89)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; UpperType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:90)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; MatrixType = adelie_core::constraint::linear::MatrixConstraintNNLS<adelie_core::matrix::MatrixConstraintBase<double, int> >; ValueType = double; IndexType = int; BoolType = bool]’
  151 |         solver::bvls::solve(*this, lower, upper, weights, early_exit_f);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:595:21:   required from ‘typename adelie_core::constraint::ConstraintLinear<AType, IndexType>::base_t::value_t adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve_zero(const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  595 |     state_nnls.solve(
      |     ~~~~~~~~~~~~~~~~^
  596 |         [&]() { return false; },
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  597 |         lower_constraint,
      |         ~~~~~~~~~~~~~~~~~
  598 |         upper_constraint
      |         ~~~~~~~~~~~~~~~~
  599 |     );
      |     ~                
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:535:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:90)>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:90)>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:90)>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:90)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:90)>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of ‘template<class NewType> typename Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:90)>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:90)>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >::cast() const [with NewType = double]’
   62 | cast() const
      | ^~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_bvls.hpp:269:60:   required from ‘bool adelie_core::solver::bvls::kkt_screen(StateType&&, const LowerType&, const UpperType&, const WeightsType&, ViolsOrderType&) [with StateType = adelie_core::optimization::StateNNLS<adelie_core::constraint::linear::MatrixConstraintNNLS<adelie_core::matrix::MatrixConstraintBase<double, int> >, double, int, bool>&; LowerType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:89)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; UpperType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:90)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; WeightsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >; ViolsOrderType = Eigen::Array<int, 1, -1, 1, 1, -1>]’
  269 |         grad.max(0) * (beta < upper).template cast<value_t>()
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_bvls.hpp:343:43:   required from ‘void adelie_core::solver::bvls::solve(StateType&&, const LowerType&, const UpperType&, const WeightsType&, EarlyExitType, CheckUserInterruptType) [with StateType = adelie_core::optimization::StateNNLS<adelie_core::constraint::linear::MatrixConstraintNNLS<adelie_core::matrix::MatrixConstraintBase<double, int> >, double, int, bool>&; LowerType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:89)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; UpperType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:90)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; WeightsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >; EarlyExitType = adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; CheckUserInterruptType = adelie_core::util::no_op]’
  343 |         const bool kkt_passed = kkt_screen(
      |                                 ~~~~~~~~~~^
  344 |             state, lower, upper, weights, viols_order
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  345 |         );
      |         ~                                  
../inst/adelie/adelie/src/include/adelie_core/optimization/nnls.hpp:151:28:   required from ‘void adelie_core::optimization::StateNNLS<MatrixType, ValueType, IndexType, BoolType>::solve(EarlyExitType, LowerType, UpperType) [with EarlyExitType = adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; LowerType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:89)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; UpperType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:90)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; MatrixType = adelie_core::constraint::linear::MatrixConstraintNNLS<adelie_core::matrix::MatrixConstraintBase<double, int> >; ValueType = double; IndexType = int; BoolType = bool]’
  151 |         solver::bvls::solve(*this, lower, upper, weights, early_exit_f);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:595:21:   required from ‘typename adelie_core::constraint::ConstraintLinear<AType, IndexType>::base_t::value_t adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve_zero(const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  595 |     state_nnls.solve(
      |     ~~~~~~~~~~~~~~~~^
  596 |         [&]() { return false; },
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  597 |         lower_constraint,
      |         ~~~~~~~~~~~~~~~~~
  598 |         upper_constraint
      |         ~~~~~~~~~~~~~~~~
  599 |     );
      |     ~                
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:535:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:90)>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:90)>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:90)>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:90)>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:90)>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_bvls.hpp:269:21:   required from ‘bool adelie_core::solver::bvls::kkt_screen(StateType&&, const LowerType&, const UpperType&, const WeightsType&, ViolsOrderType&) [with StateType = adelie_core::optimization::StateNNLS<adelie_core::constraint::linear::MatrixConstraintNNLS<adelie_core::matrix::MatrixConstraintBase<double, int> >, double, int, bool>&; LowerType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:89)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; UpperType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:90)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; WeightsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >; ViolsOrderType = Eigen::Array<int, 1, -1, 1, 1, -1>]’
  269 |         grad.max(0) * (beta < upper).template cast<value_t>()
      |         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_bvls.hpp:343:43:   required from ‘void adelie_core::solver::bvls::solve(StateType&&, const LowerType&, const UpperType&, const WeightsType&, EarlyExitType, CheckUserInterruptType) [with StateType = adelie_core::optimization::StateNNLS<adelie_core::constraint::linear::MatrixConstraintNNLS<adelie_core::matrix::MatrixConstraintBase<double, int> >, double, int, bool>&; LowerType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:89)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; UpperType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:90)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; WeightsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >; EarlyExitType = adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; CheckUserInterruptType = adelie_core::util::no_op]’
  343 |         const bool kkt_passed = kkt_screen(
      |                                 ~~~~~~~~~~^
  344 |             state, lower, upper, weights, viols_order
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  345 |         );
      |         ~                                  
../inst/adelie/adelie/src/include/adelie_core/optimization/nnls.hpp:151:28:   required from ‘void adelie_core::optimization::StateNNLS<MatrixType, ValueType, IndexType, BoolType>::solve(EarlyExitType, LowerType, UpperType) [with EarlyExitType = adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; LowerType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:89)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; UpperType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:90)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; MatrixType = adelie_core::constraint::linear::MatrixConstraintNNLS<adelie_core::matrix::MatrixConstraintBase<double, int> >; ValueType = double; IndexType = int; BoolType = bool]’
  151 |         solver::bvls::solve(*this, lower, upper, weights, early_exit_f);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:595:21:   required from ‘typename adelie_core::constraint::ConstraintLinear<AType, IndexType>::base_t::value_t adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve_zero(const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  595 |     state_nnls.solve(
      |     ~~~~~~~~~~~~~~~~^
  596 |         [&]() { return false; },
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  597 |         lower_constraint,
      |         ~~~~~~~~~~~~~~~~~
  598 |         upper_constraint
      |         ~~~~~~~~~~~~~~~~
  599 |     );
      |     ~                
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:535:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_bvls.hpp:270:19:   required from ‘bool adelie_core::solver::bvls::kkt_screen(StateType&&, const LowerType&, const UpperType&, const WeightsType&, ViolsOrderType&) [with StateType = adelie_core::optimization::StateNNLS<adelie_core::constraint::linear::MatrixConstraintNNLS<adelie_core::matrix::MatrixConstraintBase<double, int> >, double, int, bool>&; LowerType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:89)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; UpperType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:90)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; WeightsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >; ViolsOrderType = Eigen::Array<int, 1, -1, 1, 1, -1>]’
  270 |         - grad.min(0) * (beta > lower).template cast<value_t>()
      |           ~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_bvls.hpp:343:43:   required from ‘void adelie_core::solver::bvls::solve(StateType&&, const LowerType&, const UpperType&, const WeightsType&, EarlyExitType, CheckUserInterruptType) [with StateType = adelie_core::optimization::StateNNLS<adelie_core::constraint::linear::MatrixConstraintNNLS<adelie_core::matrix::MatrixConstraintBase<double, int> >, double, int, bool>&; LowerType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:89)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; UpperType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:90)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; WeightsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >; EarlyExitType = adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; CheckUserInterruptType = adelie_core::util::no_op]’
  343 |         const bool kkt_passed = kkt_screen(
      |                                 ~~~~~~~~~~^
  344 |             state, lower, upper, weights, viols_order
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  345 |         );
      |         ~                                  
../inst/adelie/adelie/src/include/adelie_core/optimization/nnls.hpp:151:28:   required from ‘void adelie_core::optimization::StateNNLS<MatrixType, ValueType, IndexType, BoolType>::solve(EarlyExitType, LowerType, UpperType) [with EarlyExitType = adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; LowerType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:89)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; UpperType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:90)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; MatrixType = adelie_core::constraint::linear::MatrixConstraintNNLS<adelie_core::matrix::MatrixConstraintBase<double, int> >; ValueType = double; IndexType = int; BoolType = bool]’
  151 |         solver::bvls::solve(*this, lower, upper, weights, early_exit_f);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:595:21:   required from ‘typename adelie_core::constraint::ConstraintLinear<AType, IndexType>::base_t::value_t adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve_zero(const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  595 |     state_nnls.solve(
      |     ~~~~~~~~~~~~~~~~^
  596 |         [&]() { return false; },
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  597 |         lower_constraint,
      |         ~~~~~~~~~~~~~~~~~
  598 |         upper_constraint
      |         ~~~~~~~~~~~~~~~~
  599 |     );
      |     ~                
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:535:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:89)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:89)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:89)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:89)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:89)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of ‘template<class NewType> typename Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:89)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:89)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >::cast() const [with NewType = double]’
   62 | cast() const
      | ^~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_bvls.hpp:270:62:   required from ‘bool adelie_core::solver::bvls::kkt_screen(StateType&&, const LowerType&, const UpperType&, const WeightsType&, ViolsOrderType&) [with StateType = adelie_core::optimization::StateNNLS<adelie_core::constraint::linear::MatrixConstraintNNLS<adelie_core::matrix::MatrixConstraintBase<double, int> >, double, int, bool>&; LowerType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:89)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; UpperType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:90)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; WeightsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >; ViolsOrderType = Eigen::Array<int, 1, -1, 1, 1, -1>]’
  270 |         - grad.min(0) * (beta > lower).template cast<value_t>()
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_bvls.hpp:343:43:   required from ‘void adelie_core::solver::bvls::solve(StateType&&, const LowerType&, const UpperType&, const WeightsType&, EarlyExitType, CheckUserInterruptType) [with StateType = adelie_core::optimization::StateNNLS<adelie_core::constraint::linear::MatrixConstraintNNLS<adelie_core::matrix::MatrixConstraintBase<double, int> >, double, int, bool>&; LowerType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:89)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; UpperType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:90)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; WeightsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >; EarlyExitType = adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; CheckUserInterruptType = adelie_core::util::no_op]’
  343 |         const bool kkt_passed = kkt_screen(
      |                                 ~~~~~~~~~~^
  344 |             state, lower, upper, weights, viols_order
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  345 |         );
      |         ~                                  
../inst/adelie/adelie/src/include/adelie_core/optimization/nnls.hpp:151:28:   required from ‘void adelie_core::optimization::StateNNLS<MatrixType, ValueType, IndexType, BoolType>::solve(EarlyExitType, LowerType, UpperType) [with EarlyExitType = adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; LowerType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:89)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; UpperType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:90)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; MatrixType = adelie_core::constraint::linear::MatrixConstraintNNLS<adelie_core::matrix::MatrixConstraintBase<double, int> >; ValueType = double; IndexType = int; BoolType = bool]’
  151 |         solver::bvls::solve(*this, lower, upper, weights, early_exit_f);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:595:21:   required from ‘typename adelie_core::constraint::ConstraintLinear<AType, IndexType>::base_t::value_t adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve_zero(const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  595 |     state_nnls.solve(
      |     ~~~~~~~~~~~~~~~~^
  596 |         [&]() { return false; },
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  597 |         lower_constraint,
      |         ~~~~~~~~~~~~~~~~~
  598 |         upper_constraint
      |         ~~~~~~~~~~~~~~~~
  599 |     );
      |     ~                
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:535:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:89)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:89)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:89)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:89)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:89)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_bvls.hpp:270:23:   required from ‘bool adelie_core::solver::bvls::kkt_screen(StateType&&, const LowerType&, const UpperType&, const WeightsType&, ViolsOrderType&) [with StateType = adelie_core::optimization::StateNNLS<adelie_core::constraint::linear::MatrixConstraintNNLS<adelie_core::matrix::MatrixConstraintBase<double, int> >, double, int, bool>&; LowerType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:89)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; UpperType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:90)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; WeightsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >; ViolsOrderType = Eigen::Array<int, 1, -1, 1, 1, -1>]’
  270 |         - grad.min(0) * (beta > lower).template cast<value_t>()
      |           ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_bvls.hpp:343:43:   required from ‘void adelie_core::solver::bvls::solve(StateType&&, const LowerType&, const UpperType&, const WeightsType&, EarlyExitType, CheckUserInterruptType) [with StateType = adelie_core::optimization::StateNNLS<adelie_core::constraint::linear::MatrixConstraintNNLS<adelie_core::matrix::MatrixConstraintBase<double, int> >, double, int, bool>&; LowerType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:89)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; UpperType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:90)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; WeightsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >; EarlyExitType = adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; CheckUserInterruptType = adelie_core::util::no_op]’
  343 |         const bool kkt_passed = kkt_screen(
      |                                 ~~~~~~~~~~^
  344 |             state, lower, upper, weights, viols_order
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  345 |         );
      |         ~                                  
../inst/adelie/adelie/src/include/adelie_core/optimization/nnls.hpp:151:28:   required from ‘void adelie_core::optimization::StateNNLS<MatrixType, ValueType, IndexType, BoolType>::solve(EarlyExitType, LowerType, UpperType) [with EarlyExitType = adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; LowerType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:89)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; UpperType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:90)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; MatrixType = adelie_core::constraint::linear::MatrixConstraintNNLS<adelie_core::matrix::MatrixConstraintBase<double, int> >; ValueType = double; IndexType = int; BoolType = bool]’
  151 |         solver::bvls::solve(*this, lower, upper, weights, early_exit_f);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:595:21:   required from ‘typename adelie_core::constraint::ConstraintLinear<AType, IndexType>::base_t::value_t adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve_zero(const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  595 |     state_nnls.solve(
      |     ~~~~~~~~~~~~~~~~^
  596 |         [&]() { return false; },
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  597 |         lower_constraint,
      |         ~~~~~~~~~~~~~~~~~
  598 |         upper_constraint
      |         ~~~~~~~~~~~~~~~~
  599 |     );
      |     ~                
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:535:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:90)>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:89)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:90)>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:89)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:90)>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:89)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:90)>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:89)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:90)>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:89)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_bvls.hpp:270:9:   required from ‘bool adelie_core::solver::bvls::kkt_screen(StateType&&, const LowerType&, const UpperType&, const WeightsType&, ViolsOrderType&) [with StateType = adelie_core::optimization::StateNNLS<adelie_core::constraint::linear::MatrixConstraintNNLS<adelie_core::matrix::MatrixConstraintBase<double, int> >, double, int, bool>&; LowerType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:89)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; UpperType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:90)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; WeightsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >; ViolsOrderType = Eigen::Array<int, 1, -1, 1, 1, -1>]’
  268 |     viols = (
      |             ~
  269 |         grad.max(0) * (beta < upper).template cast<value_t>()
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  270 |         - grad.min(0) * (beta > lower).template cast<value_t>()
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  271 |     );
      |     ~    
../inst/adelie/adelie/src/include/adelie_core/solver/solver_bvls.hpp:343:43:   required from ‘void adelie_core::solver::bvls::solve(StateType&&, const LowerType&, const UpperType&, const WeightsType&, EarlyExitType, CheckUserInterruptType) [with StateType = adelie_core::optimization::StateNNLS<adelie_core::constraint::linear::MatrixConstraintNNLS<adelie_core::matrix::MatrixConstraintBase<double, int> >, double, int, bool>&; LowerType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:89)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; UpperType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:90)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; WeightsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >; EarlyExitType = adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; CheckUserInterruptType = adelie_core::util::no_op]’
  343 |         const bool kkt_passed = kkt_screen(
      |                                 ~~~~~~~~~~^
  344 |             state, lower, upper, weights, viols_order
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  345 |         );
      |         ~                                  
../inst/adelie/adelie/src/include/adelie_core/optimization/nnls.hpp:151:28:   required from ‘void adelie_core::optimization::StateNNLS<MatrixType, ValueType, IndexType, BoolType>::solve(EarlyExitType, LowerType, UpperType) [with EarlyExitType = adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; LowerType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:89)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; UpperType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve_zero(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:90)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; MatrixType = adelie_core::constraint::linear::MatrixConstraintNNLS<adelie_core::matrix::MatrixConstraintBase<double, int> >; ValueType = double; IndexType = int; BoolType = bool]’
  151 |         solver::bvls::solve(*this, lower, upper, weights, early_exit_f);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:595:21:   required from ‘typename adelie_core::constraint::ConstraintLinear<AType, IndexType>::base_t::value_t adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve_zero(const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  595 |     state_nnls.solve(
      |     ~~~~~~~~~~~~~~~~^
  596 |         [&]() { return false; },
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  597 |         lower_constraint,
      |         ~~~~~~~~~~~~~~~~~
  598 |         upper_constraint
      |         ~~~~~~~~~~~~~~~~
  599 |     );
      |     ~                
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:535:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:194:44:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  194 |         return (_mu - mu_prev).square().sum();
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:478:32:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::mean() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  478 |   return Scalar(derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>())) / Scalar(this->size());
      |                 ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:215:59:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  215 |             std::abs(((_mu-mu_prev) * (grad_prev+_b)).mean())
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:478:32:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::mean() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  478 |   return Scalar(derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>())) / Scalar(this->size());
      |                 ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:217:61:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  217 |             std::abs(((_mu-mu_prev) * (grad_prev-grad)).mean())
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:330:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
   72 |     typedef blas_data_mapper<typename Traits::ResScalar, Index, ColMajor, Unaligned, ResInnerStride> ResMapper;
      |                                                                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int UpLo = 1; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:215:30:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  215 |         hess_lower.rankUpdate(hess_buff, x_norm);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
 1080 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
   92 |     gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
      |                                                                                                             ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int UpLo = 1; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:215:30:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  215 |         hess_lower.rankUpdate(hess_buff, x_norm);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
 1085 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
   92 |     gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
      |                                                                                                             ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int UpLo = 1; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:215:30:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  215 |         hess_lower.rankUpdate(hess_buff, x_norm);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:29:114:   required from ‘static void Eigen::selfadjoint_rank1_update<Scalar, Index, 0, UpLo, ConjLhs, ConjRhs>::run(Index, Scalar*, Index, const Scalar*, const Scalar*, const Scalar&) [with Scalar = double; Index = long int; int UpLo = 1; bool ConjLhs = false; bool ConjRhs = false]’
   29 |     typedef typename internal::conditional<ConjLhs,typename OtherMap::ConjugateReturnType,const OtherMap&>::type ConjLhsType;
      |                                                                                                                  ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:78:16:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, true>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; int UpLo = 1; typename MatrixType::Scalar = double]’
   75 |     selfadjoint_rank1_update<Scalar,Index,StorageOrder,UpLo,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   76 |                               OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   77 |                             (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex>
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   78 |           ::run(other.size(), mat.data(), mat.outerStride(), actualOtherPtr, actualOtherPtr, actualAlpha);
      |           ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:222:30:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  222 |         hess_lower.rankUpdate(alpha.matrix().transpose(), l1_kappa_norm);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:33:36:   required from ‘static void Eigen::selfadjoint_rank1_update<Scalar, Index, 0, UpLo, ConjLhs, ConjRhs>::run(Index, Scalar*, Index, const Scalar*, const Scalar*, const Scalar&) [with Scalar = double; Index = long int; int UpLo = 1; bool ConjLhs = false; bool ConjRhs = false]’
   33 |           += (alpha * cj(vecY[i])) * ConjLhsType(OtherMap(vecX+(UpLo==Lower ? i : 0),UpLo==Lower ? size-i : (i+1)));
      |              ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:78:16:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, true>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; int UpLo = 1; typename MatrixType::Scalar = double]’
   75 |     selfadjoint_rank1_update<Scalar,Index,StorageOrder,UpLo,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   76 |                               OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   77 |                             (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex>
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   78 |           ::run(other.size(), mat.data(), mat.outerStride(), actualOtherPtr, actualOtherPtr, actualAlpha);
      |           ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:222:30:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  222 |         hess_lower.rankUpdate(alpha.matrix().transpose(), l1_kappa_norm);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:33:36:   required from ‘static void Eigen::selfadjoint_rank1_update<Scalar, Index, 0, UpLo, ConjLhs, ConjRhs>::run(Index, Scalar*, Index, const Scalar*, const Scalar*, const Scalar&) [with Scalar = double; Index = long int; int UpLo = 1; bool ConjLhs = false; bool ConjRhs = false]’
   33 |           += (alpha * cj(vecY[i])) * ConjLhsType(OtherMap(vecX+(UpLo==Lower ? i : 0),UpLo==Lower ? size-i : (i+1)));
      |              ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:78:16:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, true>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; int UpLo = 1; typename MatrixType::Scalar = double]’
   75 |     selfadjoint_rank1_update<Scalar,Index,StorageOrder,UpLo,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   76 |                               OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   77 |                             (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex>
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   78 |           ::run(other.size(), mat.data(), mat.outerStride(), actualOtherPtr, actualOtherPtr, actualAlpha);
      |           ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:222:30:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  222 |         hess_lower.rankUpdate(alpha.matrix().transpose(), l1_kappa_norm);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:478:32:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::mean() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  478 |   return Scalar(derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>())) / Scalar(this->size());
      |                 ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:399:46:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  399 |             std::abs((ATdmu * grad_prev).mean())
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:82)>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:82)>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:82)>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:82)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:82)>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from ‘struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:82)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:82)>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_bvls.hpp:343:43:   required from ‘void adelie_core::solver::bvls::solve(StateType&&, const LowerType&, const UpperType&, const WeightsType&, EarlyExitType, CheckUserInterruptType) [with StateType = adelie_core::optimization::StateNNLS<adelie_core::constraint::linear::MatrixConstraintNNLS<adelie_core::matrix::MatrixConstraintBase<double, int> >, double, int, bool>&; LowerType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:81)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; UpperType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:82)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; WeightsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >; EarlyExitType = adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda()>; CheckUserInterruptType = adelie_core::util::no_op]’
  343 |         const bool kkt_passed = kkt_screen(
      |                                 ~~~~~~~~~~^
  344 |             state, lower, upper, weights, viols_order
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  345 |         );
      |         ~                                  
../inst/adelie/adelie/src/include/adelie_core/optimization/nnls.hpp:151:28:   required from ‘void adelie_core::optimization::StateNNLS<MatrixType, ValueType, IndexType, BoolType>::solve(EarlyExitType, LowerType, UpperType) [with EarlyExitType = adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda()>; LowerType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:81)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; UpperType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:82)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; MatrixType = adelie_core::constraint::linear::MatrixConstraintNNLS<adelie_core::matrix::MatrixConstraintBase<double, int> >; ValueType = double; IndexType = int; BoolType = bool]’
  151 |         solver::bvls::solve(*this, lower, upper, weights, early_exit_f);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:326:20:   required from ‘adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)> [with auto:80 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  326 |         state_nnls.solve(
      |         ~~~~~~~~~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:80:33:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:79&)>; ComputeMinMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>; ComputeBacktrackAType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:83&, const auto:84&)>; ComputeBacktrackType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:85)>; ComputeGradientType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)>; SaveAdditionalPrevType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   80 |         if (compute_min_mu_resid(Qv, false, true) <= l1 * l1) {
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:497:26:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  497 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  498 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  500 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  501 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  502 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  503 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  504 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  505 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  507 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  509 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:82)>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:82)>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:82)>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:82)>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:82)>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_bvls.hpp:269:21:   required from ‘bool adelie_core::solver::bvls::kkt_screen(StateType&&, const LowerType&, const UpperType&, const WeightsType&, ViolsOrderType&) [with StateType = adelie_core::optimization::StateNNLS<adelie_core::constraint::linear::MatrixConstraintNNLS<adelie_core::matrix::MatrixConstraintBase<double, int> >, double, int, bool>&; LowerType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:81)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; UpperType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:82)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; WeightsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >; ViolsOrderType = Eigen::Array<int, 1, -1, 1, 1, -1>]’
  269 |         grad.max(0) * (beta < upper).template cast<value_t>()
      |         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_bvls.hpp:343:43:   required from ‘void adelie_core::solver::bvls::solve(StateType&&, const LowerType&, const UpperType&, const WeightsType&, EarlyExitType, CheckUserInterruptType) [with StateType = adelie_core::optimization::StateNNLS<adelie_core::constraint::linear::MatrixConstraintNNLS<adelie_core::matrix::MatrixConstraintBase<double, int> >, double, int, bool>&; LowerType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:81)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; UpperType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:82)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; WeightsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >; EarlyExitType = adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda()>; CheckUserInterruptType = adelie_core::util::no_op]’
  343 |         const bool kkt_passed = kkt_screen(
      |                                 ~~~~~~~~~~^
  344 |             state, lower, upper, weights, viols_order
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  345 |         );
      |         ~                                  
../inst/adelie/adelie/src/include/adelie_core/optimization/nnls.hpp:151:28:   required from ‘void adelie_core::optimization::StateNNLS<MatrixType, ValueType, IndexType, BoolType>::solve(EarlyExitType, LowerType, UpperType) [with EarlyExitType = adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda()>; LowerType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:81)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; UpperType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:82)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; MatrixType = adelie_core::constraint::linear::MatrixConstraintNNLS<adelie_core::matrix::MatrixConstraintBase<double, int> >; ValueType = double; IndexType = int; BoolType = bool]’
  151 |         solver::bvls::solve(*this, lower, upper, weights, early_exit_f);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:326:20:   required from ‘adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)> [with auto:80 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  326 |         state_nnls.solve(
      |         ~~~~~~~~~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:80:33:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:79&)>; ComputeMinMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>; ComputeBacktrackAType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:83&, const auto:84&)>; ComputeBacktrackType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:85)>; ComputeGradientType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)>; SaveAdditionalPrevType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   80 |         if (compute_min_mu_resid(Qv, false, true) <= l1 * l1) {
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:497:26:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  497 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  498 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  500 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  501 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  502 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  503 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  504 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  505 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  507 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  509 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:81)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:81)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:81)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:81)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:81)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from ‘struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:81)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:81)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_bvls.hpp:343:43:   required from ‘void adelie_core::solver::bvls::solve(StateType&&, const LowerType&, const UpperType&, const WeightsType&, EarlyExitType, CheckUserInterruptType) [with StateType = adelie_core::optimization::StateNNLS<adelie_core::constraint::linear::MatrixConstraintNNLS<adelie_core::matrix::MatrixConstraintBase<double, int> >, double, int, bool>&; LowerType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:81)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; UpperType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:82)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; WeightsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >; EarlyExitType = adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda()>; CheckUserInterruptType = adelie_core::util::no_op]’
  343 |         const bool kkt_passed = kkt_screen(
      |                                 ~~~~~~~~~~^
  344 |             state, lower, upper, weights, viols_order
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  345 |         );
      |         ~                                  
../inst/adelie/adelie/src/include/adelie_core/optimization/nnls.hpp:151:28:   required from ‘void adelie_core::optimization::StateNNLS<MatrixType, ValueType, IndexType, BoolType>::solve(EarlyExitType, LowerType, UpperType) [with EarlyExitType = adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda()>; LowerType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:81)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; UpperType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:82)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; MatrixType = adelie_core::constraint::linear::MatrixConstraintNNLS<adelie_core::matrix::MatrixConstraintBase<double, int> >; ValueType = double; IndexType = int; BoolType = bool]’
  151 |         solver::bvls::solve(*this, lower, upper, weights, early_exit_f);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:326:20:   required from ‘adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)> [with auto:80 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  326 |         state_nnls.solve(
      |         ~~~~~~~~~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:80:33:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:79&)>; ComputeMinMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>; ComputeBacktrackAType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:83&, const auto:84&)>; ComputeBacktrackType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:85)>; ComputeGradientType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)>; SaveAdditionalPrevType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   80 |         if (compute_min_mu_resid(Qv, false, true) <= l1 * l1) {
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:497:26:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  497 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  498 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  500 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  501 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  502 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  503 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  504 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  505 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  507 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  509 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:81)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:81)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:81)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:81)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:81)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_bvls.hpp:270:23:   required from ‘bool adelie_core::solver::bvls::kkt_screen(StateType&&, const LowerType&, const UpperType&, const WeightsType&, ViolsOrderType&) [with StateType = adelie_core::optimization::StateNNLS<adelie_core::constraint::linear::MatrixConstraintNNLS<adelie_core::matrix::MatrixConstraintBase<double, int> >, double, int, bool>&; LowerType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:81)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; UpperType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:82)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; WeightsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >; ViolsOrderType = Eigen::Array<int, 1, -1, 1, 1, -1>]’
  270 |         - grad.min(0) * (beta > lower).template cast<value_t>()
      |           ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_bvls.hpp:343:43:   required from ‘void adelie_core::solver::bvls::solve(StateType&&, const LowerType&, const UpperType&, const WeightsType&, EarlyExitType, CheckUserInterruptType) [with StateType = adelie_core::optimization::StateNNLS<adelie_core::constraint::linear::MatrixConstraintNNLS<adelie_core::matrix::MatrixConstraintBase<double, int> >, double, int, bool>&; LowerType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:81)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; UpperType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:82)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; WeightsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >; EarlyExitType = adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda()>; CheckUserInterruptType = adelie_core::util::no_op]’
  343 |         const bool kkt_passed = kkt_screen(
      |                                 ~~~~~~~~~~^
  344 |             state, lower, upper, weights, viols_order
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  345 |         );
      |         ~                                  
../inst/adelie/adelie/src/include/adelie_core/optimization/nnls.hpp:151:28:   required from ‘void adelie_core::optimization::StateNNLS<MatrixType, ValueType, IndexType, BoolType>::solve(EarlyExitType, LowerType, UpperType) [with EarlyExitType = adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda()>; LowerType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:81)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; UpperType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:82)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; MatrixType = adelie_core::constraint::linear::MatrixConstraintNNLS<adelie_core::matrix::MatrixConstraintBase<double, int> >; ValueType = double; IndexType = int; BoolType = bool]’
  151 |         solver::bvls::solve(*this, lower, upper, weights, early_exit_f);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:326:20:   required from ‘adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)> [with auto:80 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  326 |         state_nnls.solve(
      |         ~~~~~~~~~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:80:33:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:79&)>; ComputeMinMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>; ComputeBacktrackAType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:83&, const auto:84&)>; ComputeBacktrackType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:85)>; ComputeGradientType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)>; SaveAdditionalPrevType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   80 |         if (compute_min_mu_resid(Qv, false, true) <= l1 * l1) {
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:497:26:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  497 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  498 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  500 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  501 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  502 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  503 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  504 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  505 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  507 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  509 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:82)>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:81)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:82)>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:81)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:82)>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:81)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:82)>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:81)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:82)>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:81)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_bvls.hpp:270:9:   required from ‘bool adelie_core::solver::bvls::kkt_screen(StateType&&, const LowerType&, const UpperType&, const WeightsType&, ViolsOrderType&) [with StateType = adelie_core::optimization::StateNNLS<adelie_core::constraint::linear::MatrixConstraintNNLS<adelie_core::matrix::MatrixConstraintBase<double, int> >, double, int, bool>&; LowerType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:81)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; UpperType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:82)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; WeightsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >; ViolsOrderType = Eigen::Array<int, 1, -1, 1, 1, -1>]’
  268 |     viols = (
      |             ~
  269 |         grad.max(0) * (beta < upper).template cast<value_t>()
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  270 |         - grad.min(0) * (beta > lower).template cast<value_t>()
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  271 |     );
      |     ~    
../inst/adelie/adelie/src/include/adelie_core/solver/solver_bvls.hpp:343:43:   required from ‘void adelie_core::solver::bvls::solve(StateType&&, const LowerType&, const UpperType&, const WeightsType&, EarlyExitType, CheckUserInterruptType) [with StateType = adelie_core::optimization::StateNNLS<adelie_core::constraint::linear::MatrixConstraintNNLS<adelie_core::matrix::MatrixConstraintBase<double, int> >, double, int, bool>&; LowerType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:81)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; UpperType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:82)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; WeightsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >; EarlyExitType = adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda()>; CheckUserInterruptType = adelie_core::util::no_op]’
  343 |         const bool kkt_passed = kkt_screen(
      |                                 ~~~~~~~~~~^
  344 |             state, lower, upper, weights, viols_order
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  345 |         );
      |         ~                                  
../inst/adelie/adelie/src/include/adelie_core/optimization/nnls.hpp:151:28:   required from ‘void adelie_core::optimization::StateNNLS<MatrixType, ValueType, IndexType, BoolType>::solve(EarlyExitType, LowerType, UpperType) [with EarlyExitType = adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda()>; LowerType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:81)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; UpperType = Eigen::CwiseNullaryOp<adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>::<lambda(auto:82)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; MatrixType = adelie_core::constraint::linear::MatrixConstraintNNLS<adelie_core::matrix::MatrixConstraintBase<double, int> >; ValueType = double; IndexType = int; BoolType = bool]’
  151 |         solver::bvls::solve(*this, lower, upper, weights, early_exit_f);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:326:20:   required from ‘adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)> [with auto:80 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  326 |         state_nnls.solve(
      |         ~~~~~~~~~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:80:33:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:79&)>; ComputeMinMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>; ComputeBacktrackAType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:83&, const auto:84&)>; ComputeBacktrackType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:85)>; ComputeGradientType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)>; SaveAdditionalPrevType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   80 |         if (compute_min_mu_resid(Qv, false, true) <= l1 * l1) {
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:497:26:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  497 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  498 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  500 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  501 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  502 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  503 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  504 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  505 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  507 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  509 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_pinball.hpp:240:48:   required from ‘bool adelie_core::solver::pinball::kkt_screen(StateType&&, ViolsOrderType&) [with StateType = adelie_core::optimization::StatePinball<adelie_core::matrix::MatrixConstraintBase<double, int>, double, int, bool>&; ViolsOrderType = Eigen::Array<int, 1, -1, 1, 1, -1>]’
  240 |     viols = (grad-penalty_pos).max(-penalty_neg-grad);
      |                                    ~~~~~~~~~~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_pinball.hpp:306:43:   required from ‘void adelie_core::solver::pinball::solve(StateType&&, CheckUserInterruptType) [with StateType = adelie_core::optimization::StatePinball<adelie_core::matrix::MatrixConstraintBase<double, int>, double, int, bool>&; CheckUserInterruptType = adelie_core::util::no_op]’
  306 |         const bool kkt_passed = kkt_screen(state, viols_order);
      |                                 ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/optimization/pinball.hpp:197:31:   required from ‘void adelie_core::optimization::StatePinball<MatrixType, ValueType, IndexType, BoolType>::solve() [with MatrixType = adelie_core::matrix::MatrixConstraintBase<double, int>; ValueType = double; IndexType = int; BoolType = bool]’
  197 |         solver::pinball::solve(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:465:32:   required from ‘adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)> [with auto:86 = Eigen::Map<Eigen::Matrix<double, -1, -1> >; auto:87 = double]’
  465 |             state_pinball.solve();
      |             ~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:240:37:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:79&)>; ComputeMinMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>; ComputeBacktrackAType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:83&, const auto:84&)>; ComputeBacktrackType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:85)>; ComputeGradientType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)>; SaveAdditionalPrevType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  240 |         compute_proximal_newton_step(hess, var);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:497:26:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  497 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  498 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  500 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  501 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  502 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  503 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  504 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  505 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  507 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  509 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_pinball.hpp:240:35:   required from ‘bool adelie_core::solver::pinball::kkt_screen(StateType&&, ViolsOrderType&) [with StateType = adelie_core::optimization::StatePinball<adelie_core::matrix::MatrixConstraintBase<double, int>, double, int, bool>&; ViolsOrderType = Eigen::Array<int, 1, -1, 1, 1, -1>]’
  240 |     viols = (grad-penalty_pos).max(-penalty_neg-grad);
      |             ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_pinball.hpp:306:43:   required from ‘void adelie_core::solver::pinball::solve(StateType&&, CheckUserInterruptType) [with StateType = adelie_core::optimization::StatePinball<adelie_core::matrix::MatrixConstraintBase<double, int>, double, int, bool>&; CheckUserInterruptType = adelie_core::util::no_op]’
  306 |         const bool kkt_passed = kkt_screen(state, viols_order);
      |                                 ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/optimization/pinball.hpp:197:31:   required from ‘void adelie_core::optimization::StatePinball<MatrixType, ValueType, IndexType, BoolType>::solve() [with MatrixType = adelie_core::matrix::MatrixConstraintBase<double, int>; ValueType = double; IndexType = int; BoolType = bool]’
  197 |         solver::pinball::solve(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:465:32:   required from ‘adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)> [with auto:86 = Eigen::Map<Eigen::Matrix<double, -1, -1> >; auto:87 = double]’
  465 |             state_pinball.solve();
      |             ~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:240:37:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:79&)>; ComputeMinMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>; ComputeBacktrackAType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:83&, const auto:84&)>; ComputeBacktrackType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:85)>; ComputeGradientType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)>; SaveAdditionalPrevType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  240 |         compute_proximal_newton_step(hess, var);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:497:26:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  497 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  498 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  500 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  501 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  502 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  503 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  504 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  505 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  507 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  509 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:574:54:   required from ‘typename adelie_core::constraint::ConstraintLinear<AType, IndexType>::base_t::value_t adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve_zero(const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  574 |     const value_t loss = 0.5 * Qmu_resid.square().sum();
      |                                ~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:535:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:585:27:   required from ‘typename adelie_core::constraint::ConstraintLinear<AType, IndexType>::base_t::value_t adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve_zero(const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  585 |         _X, v.square().sum(), _A_vars, std::min<size_t>(m, d),
      |             ~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:535:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:187:69:   required from ‘adelie_core::constraint::ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)> [with auto:92 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  187 |         const auto mu_resid_norm_sq = (Qv - _sgn * _mu).square().sum();
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:80:33:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   80 |         if (compute_min_mu_resid(Qv, false, true) <= l1 * l1) {
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:62:38:   required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; VType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; ValueType = double; XType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; InitialType = newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>; size_t = long unsigned int]’
   62 |     const auto v_l2 = v.matrix().norm();
      |                       ~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:138:23:   required from ‘void adelie_core::bcd::unconstrained::newton_solver(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; VType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; ValueType = double; XType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’
  138 |     newton_solver_base(
      |     ~~~~~~~~~~~~~~~~~~^
  139 |         L, v, l1, l2, tol, max_iters, initial_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  140 |         x, iters, buffer1, buffer2
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~
  141 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:89:42:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   89 |         bcd::unconstrained::newton_solver(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   90 |             quad, mu_resid, l1, l2, _newton_tol, _newton_max_iters,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   91 |             x, x_iters, x_buffer1, x_buffer2
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |         );
      |         ~                                 
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:200:57:   required from ‘adelie_core::constraint::ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)> [with auto:93 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; auto:94 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  200 |         return ((_sgn * Qv - _mu) * (_mu - mu_prev)).sum();
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:178:50:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  178 |             const value_t b = compute_backtrack_b(Qv, mu_resid);
      |                               ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
  100 |       pack_rhs(blockB, rhs.getSubMapper(k2,0), actual_kc, size);
      |       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int UpLo = 1; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:215:30:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  215 |         hess_lower.rankUpdate(hess_buff, x_norm);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
  106 |         pack_lhs(blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc);
      |         ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int UpLo = 1; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:215:30:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  215 |         hess_lower.rankUpdate(hess_buff, x_norm);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2256 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2258 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2259 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2298 |               PacketBlock<HalfPacket> kernel_half;
      |                                       ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2304 |               PacketBlock<QuarterPacket> kernel_quarter;
      |                                          ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
  113 |           gebp(res.getSubMapper(i2, 0), blockA, blockB, actual_mc, actual_kc,
      |           ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  114 |                (std::min)(size,i2), alpha, -1, -1, 0, 0);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int UpLo = 1; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:215:30:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  215 |         hess_lower.rankUpdate(hess_buff, x_norm);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 16>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 4>’
  178 | class Matrix
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from ‘void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’
  155 |     Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
      |                                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int UpLo = 1; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:215:30:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  215 |         hess_lower.rankUpdate(hess_buff, x_norm);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int UpLo = 1; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:215:30:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  215 |         hess_lower.rankUpdate(hess_buff, x_norm);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:220:63:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  220 |         const auto kappa = 1 / (x * x_buffer1 * alpha_tmp).sum();
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:229:44:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  229 |         const auto xy = (x * alpha_tmp).sum();
      |                         ~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:231:49:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  231 |             (alpha_tmp.square() / x_buffer2).sum() - (
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:234:80:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  234 |                 (x_norm * x_norm) / (l1 * kappa) + (x.square() * x_buffer2).sum()
      |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:181:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator-=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; Derived = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  181 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/optimization/nnqp_full.hpp:169:26:   required from ‘void adelie_core::optimization::StateNNQPFull<MatrixType, true>::solve() [with MatrixType = Eigen::Matrix<double, -1, -1>]’
  169 |                     grad -= del * quad.array().col(i);
      |                     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:232:25:   required from ‘adelie_core::constraint::ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)> [with auto:96 = Eigen::Map<Eigen::Matrix<double, -1, -1> >; auto:97 = double]’
  232 |         state_nnqp.solve();
      |         ~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:240:37:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  240 |         compute_proximal_newton_step(hess, var);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:285:38:   required from ‘adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)> [with auto:80 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  285 |         if ((Qv - _ATmu).square().sum() <= l1 * l1) return value_t(0);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:80:33:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:79&)>; ComputeMinMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>; ComputeBacktrackAType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:83&, const auto:84&)>; ComputeBacktrackType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:85)>; ComputeGradientType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)>; SaveAdditionalPrevType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   80 |         if (compute_min_mu_resid(Qv, false, true) <= l1 * l1) {
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:497:26:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  497 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  498 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  500 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  501 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  502 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  503 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  504 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  505 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  507 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  509 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_pinball.hpp:295:12:   required from ‘void adelie_core::solver::pinball::solve(StateType&&, CheckUserInterruptType) [with StateType = adelie_core::optimization::StatePinball<adelie_core::matrix::MatrixConstraintBase<double, int>, double, int, bool>&; CheckUserInterruptType = adelie_core::util::no_op]’
  295 |         fit(state, check_user_interrupt);
      |         ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/optimization/pinball.hpp:197:31:   required from ‘void adelie_core::optimization::StatePinball<MatrixType, ValueType, IndexType, BoolType>::solve() [with MatrixType = adelie_core::matrix::MatrixConstraintBase<double, int>; ValueType = double; IndexType = int; BoolType = bool]’
  197 |         solver::pinball::solve(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:465:32:   required from ‘adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)> [with auto:86 = Eigen::Map<Eigen::Matrix<double, -1, -1> >; auto:87 = double]’
  465 |             state_pinball.solve();
      |             ~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:240:37:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:79&)>; ComputeMinMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>; ComputeBacktrackAType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:83&, const auto:84&)>; ComputeBacktrackType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:85)>; ComputeGradientType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)>; SaveAdditionalPrevType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  240 |         compute_proximal_newton_step(hess, var);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:497:26:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  497 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  498 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  500 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  501 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  502 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  503 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  504 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  505 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  507 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  509 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_pinball.hpp:295:12:   required from ‘void adelie_core::solver::pinball::solve(StateType&&, CheckUserInterruptType) [with StateType = adelie_core::optimization::StatePinball<adelie_core::matrix::MatrixConstraintBase<double, int>, double, int, bool>&; CheckUserInterruptType = adelie_core::util::no_op]’
  295 |         fit(state, check_user_interrupt);
      |         ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/optimization/pinball.hpp:197:31:   required from ‘void adelie_core::optimization::StatePinball<MatrixType, ValueType, IndexType, BoolType>::solve() [with MatrixType = adelie_core::matrix::MatrixConstraintBase<double, int>; ValueType = double; IndexType = int; BoolType = bool]’
  197 |         solver::pinball::solve(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:465:32:   required from ‘adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)> [with auto:86 = Eigen::Map<Eigen::Matrix<double, -1, -1> >; auto:87 = double]’
  465 |             state_pinball.solve();
      |             ~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:240:37:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:79&)>; ComputeMinMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>; ComputeBacktrackAType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:83&, const auto:84&)>; ComputeBacktrackType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:85)>; ComputeGradientType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)>; SaveAdditionalPrevType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  240 |         compute_proximal_newton_step(hess, var);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:497:26:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  497 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  498 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  500 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  501 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  502 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  503 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  504 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  505 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  507 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  509 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_pinball.hpp:59:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_pinball.hpp:295:12:   required from ‘void adelie_core::solver::pinball::solve(StateType&&, CheckUserInterruptType) [with StateType = adelie_core::optimization::StatePinball<adelie_core::matrix::MatrixConstraintBase<double, int>, double, int, bool>&; CheckUserInterruptType = adelie_core::util::no_op]’
  295 |         fit(state, check_user_interrupt);
      |         ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/optimization/pinball.hpp:197:31:   required from ‘void adelie_core::optimization::StatePinball<MatrixType, ValueType, IndexType, BoolType>::solve() [with MatrixType = adelie_core::matrix::MatrixConstraintBase<double, int>; ValueType = double; IndexType = int; BoolType = bool]’
  197 |         solver::pinball::solve(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:465:32:   required from ‘adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)> [with auto:86 = Eigen::Map<Eigen::Matrix<double, -1, -1> >; auto:87 = double]’
  465 |             state_pinball.solve();
      |             ~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:240:37:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:79&)>; ComputeMinMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>; ComputeBacktrackAType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:83&, const auto:84&)>; ComputeBacktrackType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:85)>; ComputeGradientType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)>; SaveAdditionalPrevType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  240 |         compute_proximal_newton_step(hess, var);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:497:26:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  497 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  498 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  500 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  501 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  502 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  503 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  504 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  505 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  507 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  509 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_box.ipp:196:50:   required from ‘adelie_core::constraint::ConstraintBox<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:68&, const auto:69&)> [with auto:68 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; auto:69 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  196 |         return ((Qv - _mu) * (_mu - mu_prev)).sum();
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:178:50:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintBox<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:66&)>; ComputeMinMuResidType = ConstraintBox<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:67&, bool, bool)>; ComputeBacktrackAType = ConstraintBox<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintBox<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:68&, const auto:69&)>; ComputeBacktrackType = ConstraintBox<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:70)>; ComputeGradientType = ConstraintBox<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintBox<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintBox<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintBox<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:71&, auto:72)>; SaveAdditionalPrevType = ConstraintBox<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  178 |             const value_t b = compute_backtrack_b(Qv, mu_resid);
      |                               ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_box.ipp:234:26:   required from ‘void adelie_core::constraint::ConstraintBox<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  234 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  235 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  236 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  237 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  238 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  239 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  240 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  241 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  242 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  243 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  245 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  246 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_box.ipp:129:1:   required from here
   10 |     ConstraintBox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:155:29:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  155 |     if (linear.matrix().norm() <= l1) {
      |         ~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:278:42:   required from ‘typename adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::base_t::value_t adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve_zero(const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  278 |     return (v - _sgn * _mu).matrix().norm();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:269:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:639:22:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::dual(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_index_t>, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>) const [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  639 |     values.head(nnz) = Eigen::Map<const vec_value_t>(
      |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  640 |         _mu_value.data(),
      |         ~~~~~~~~~~~~~~~~~
  641 |         nnz
      |         ~~~           
  642 |     );
      |     ~                 
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:629:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_box.ipp:284:35:   required from ‘typename adelie_core::constraint::ConstraintBox<ValueType, IndexType>::base_t::value_t adelie_core::constraint::ConstraintBox<ValueType, IndexType>::solve_zero(const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  284 |     return (v - _mu).matrix().norm();
      |            ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_box.ipp:272:1:   required from here
   10 |     ConstraintBox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:86:29:   required from ‘adelie_core::bcd::unconstrained::newton_solver_base<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()> >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:59)> [with auto:59 = double]’
   86 |         const auto t = x.sum();
      |                        ~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/optimization/newton.hpp:51:35:   required from ‘auto adelie_core::optimization::newton_root_find(InitialType, StepType, ProjectType, ValueType, size_t) [with InitialType = adelie_core::bcd::unconstrained::newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>; StepType = adelie_core::bcd::unconstrained::newton_solver_base<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()> >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:59)>; ProjectType = adelie_core::bcd::unconstrained::newton_solver_base<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()> >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:60)>; ValueType = double; size_t = long unsigned int]’
   51 |     const auto step_state = step_f(h);
      |                             ~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:99:64:   required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; VType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; ValueType = double; XType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; InitialType = newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>; size_t = long unsigned int]’
   99 |     const auto root_find_state = optimization::newton_root_find(
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  100 |         initial_f,
      |         ~~~~~~~~~~                                              
  101 |         step_f,
      |         ~~~~~~~                                                 
  102 |         project_f,
      |         ~~~~~~~~~~                                              
  103 |         tol,
      |         ~~~~                                                    
  104 |         max_iters
      |         ~~~~~~~~~                                               
  105 |     );
      |     ~                                                           
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:138:23:   required from ‘void adelie_core::bcd::unconstrained::newton_solver(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; VType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; ValueType = double; XType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’
  138 |     newton_solver_base(
      |     ~~~~~~~~~~~~~~~~~~^
  139 |         L, v, l1, l2, tol, max_iters, initial_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  140 |         x, iters, buffer1, buffer2
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~
  141 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:89:42:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   89 |         bcd::unconstrained::newton_solver(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   90 |             quad, mu_resid, l1, l2, _newton_tol, _newton_max_iters,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   91 |             x, x_iters, x_buffer1, x_buffer2
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |         );
      |         ~                                 
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:91:14:   required from ‘adelie_core::bcd::unconstrained::newton_solver_base<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()> >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:59)> [with auto:59 = double]’
   89 |         const auto dfh = -(
      |                           ~
   90 |             x * vbuffer1 * vbuffer2
      |             ~~~~~~~~~~~~~~~~~~~~~~~
   91 |         ).sum() * (1 + sqrt_t) / t;
      |         ~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/optimization/newton.hpp:51:35:   required from ‘auto adelie_core::optimization::newton_root_find(InitialType, StepType, ProjectType, ValueType, size_t) [with InitialType = adelie_core::bcd::unconstrained::newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>; StepType = adelie_core::bcd::unconstrained::newton_solver_base<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()> >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:59)>; ProjectType = adelie_core::bcd::unconstrained::newton_solver_base<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()> >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:60)>; ValueType = double; size_t = long unsigned int]’
   51 |     const auto step_state = step_f(h);
      |                             ~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:99:64:   required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; VType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; ValueType = double; XType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; InitialType = newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>; size_t = long unsigned int]’
   99 |     const auto root_find_state = optimization::newton_root_find(
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  100 |         initial_f,
      |         ~~~~~~~~~~                                              
  101 |         step_f,
      |         ~~~~~~~                                                 
  102 |         project_f,
      |         ~~~~~~~~~~                                              
  103 |         tol,
      |         ~~~~                                                    
  104 |         max_iters
      |         ~~~~~~~~~                                               
  105 |     );
      |     ~                                                           
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:138:23:   required from ‘void adelie_core::bcd::unconstrained::newton_solver(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; VType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; ValueType = double; XType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’
  138 |     newton_solver_base(
      |     ~~~~~~~~~~~~~~~~~~^
  139 |         L, v, l1, l2, tol, max_iters, initial_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  140 |         x, iters, buffer1, buffer2
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~
  141 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:89:42:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   89 |         bcd::unconstrained::newton_solver(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   90 |             quad, mu_resid, l1, l2, _newton_tol, _newton_max_iters,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   91 |             x, x_iters, x_buffer1, x_buffer2
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |         );
      |         ~                                 
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:99:61:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   99 |         const value_t mu_resid_norm = mu_resid.matrix().norm();
      |                                       ~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:112:37:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  112 |             x_norm = x.matrix().norm();
      |                      ~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int UpLo = 1; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:215:30:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  215 |         hess_lower.rankUpdate(hess_buff, x_norm);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:181:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator-=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; Derived = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  181 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/optimization/nnqp_full.hpp:169:26:   required from ‘void adelie_core::optimization::StateNNQPFull<MatrixType, true>::solve() [with MatrixType = Eigen::Matrix<double, -1, -1>]’
  169 |                     grad -= del * quad.array().col(i);
      |                     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:232:25:   required from ‘adelie_core::constraint::ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)> [with auto:96 = Eigen::Map<Eigen::Matrix<double, -1, -1> >; auto:97 = double]’
  232 |         state_nnqp.solve();
      |         ~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:240:37:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  240 |         compute_proximal_newton_step(hess, var);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; U = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; Derived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:362:55:   required from ‘adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:83&, const auto:84&)> [with auto:83 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; auto:84 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  362 |         return (mu_resid.matrix() * Q.transpose()).dot(ATdmu.matrix());
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:178:50:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:79&)>; ComputeMinMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>; ComputeBacktrackAType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:83&, const auto:84&)>; ComputeBacktrackType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:85)>; ComputeGradientType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)>; SaveAdditionalPrevType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  178 |             const value_t b = compute_backtrack_b(Qv, mu_resid);
      |                               ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:497:26:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  497 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  498 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  500 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  501 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  502 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  503 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  504 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  505 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  507 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  509 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:62:38:   required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; VType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; ValueType = double; XType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; InitialType = newton_solver<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double, double, double, size_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>; size_t = long unsigned int]’
   62 |     const auto v_l2 = v.matrix().norm();
      |                       ~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:138:23:   required from ‘void adelie_core::bcd::unconstrained::newton_solver(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; VType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; ValueType = double; XType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’
  138 |     newton_solver_base(
      |     ~~~~~~~~~~~~~~~~~~^
  139 |         L, v, l1, l2, tol, max_iters, initial_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  140 |         x, iters, buffer1, buffer2
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~
  141 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:89:42:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   89 |         bcd::unconstrained::newton_solver(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   90 |             quad, mu_resid, l1, l2, _newton_tol, _newton_max_iters,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   91 |             x, x_iters, x_buffer1, x_buffer2
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |         );
      |         ~                                 
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_pinball.hpp:295:12:   required from ‘void adelie_core::solver::pinball::solve(StateType&&, CheckUserInterruptType) [with StateType = adelie_core::optimization::StatePinball<adelie_core::matrix::MatrixConstraintBase<double, int>, double, int, bool>&; CheckUserInterruptType = adelie_core::util::no_op]’
  295 |         fit(state, check_user_interrupt);
      |         ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/optimization/pinball.hpp:197:31:   required from ‘void adelie_core::optimization::StatePinball<MatrixType, ValueType, IndexType, BoolType>::solve() [with MatrixType = adelie_core::matrix::MatrixConstraintBase<double, int>; ValueType = double; IndexType = int; BoolType = bool]’
  197 |         solver::pinball::solve(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:465:32:   required from ‘adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)> [with auto:86 = Eigen::Map<Eigen::Matrix<double, -1, -1> >; auto:87 = double]’
  465 |             state_pinball.solve();
      |             ~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:240:37:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:79&)>; ComputeMinMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>; ComputeBacktrackAType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:83&, const auto:84&)>; ComputeBacktrackType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:85)>; ComputeGradientType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)>; SaveAdditionalPrevType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  240 |         compute_proximal_newton_step(hess, var);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:497:26:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  497 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  498 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  500 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  501 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  502 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  503 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  504 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  505 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  507 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  509 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 1, -1>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 1, -1>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:386:23:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  386 |         grad.matrix() = x.matrix() * Q.transpose();
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:386:23:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  386 |         grad.matrix() = x.matrix() * Q.transpose();
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:386:23:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  386 |         grad.matrix() = x.matrix() * Q.transpose();
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:68:17:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   68 |     Qv.matrix() = v.matrix() * Q.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:219:24:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  219 |         alpha.matrix() = alpha_tmp.matrix() * Q.transpose();
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Derived = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:228:19:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  228 |         alpha_tmp = x.matrix() * Q;
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, 1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:386:23:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  386 |         grad.matrix() = x.matrix() * Q.transpose();
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:386:23:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  386 |         grad.matrix() = x.matrix() * Q.transpose();
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:386:23:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  386 |         grad.matrix() = x.matrix() * Q.transpose();
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:68:17:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   68 |     Qv.matrix() = v.matrix() * Q.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:386:23:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  386 |         grad.matrix() = x.matrix() * Q.transpose();
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:386:23:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  386 |         grad.matrix() = x.matrix() * Q.transpose();
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:333:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
   87 |   typedef typename Traits::LhsPacket LhsPacket;
      |                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >; Rhs = Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Dest = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; typename Dest::Scalar = double]’
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12:   required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Rhs = Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]’
  206 |     gemv_dense_selector<OnTheRight,OtherStorageOrder,BlasCompatible>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Rhs = Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >; Scalar = double]’
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Rhs = Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >; Derived = Eigen::internal::generic_product_impl<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:386:23:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  386 |         grad.matrix() = x.matrix() * Q.transpose();
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
   91 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >; Rhs = Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Dest = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; typename Dest::Scalar = double]’
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12:   required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Rhs = Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]’
  206 |     gemv_dense_selector<OnTheRight,OtherStorageOrder,BlasCompatible>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Rhs = Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >; Scalar = double]’
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Rhs = Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >; Derived = Eigen::internal::generic_product_impl<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:386:23:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  386 |         grad.matrix() = x.matrix() * Q.transpose();
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 2>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
   95 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >; Rhs = Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Dest = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; typename Dest::Scalar = double]’
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12:   required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Rhs = Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]’
  206 |     gemv_dense_selector<OnTheRight,OtherStorageOrder,BlasCompatible>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Rhs = Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >; Scalar = double]’
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Rhs = Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >; Derived = Eigen::internal::generic_product_impl<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:386:23:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  386 |         grad.matrix() = x.matrix() * Q.transpose();
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:386:23:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  386 |         grad.matrix() = x.matrix() * Q.transpose();
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >; Rhs = Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Dest = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; typename Dest::Scalar = double]’
  296 |           dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size());
      |                            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:386:23:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  386 |         grad.matrix() = x.matrix() * Q.transpose();
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:68:17:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   68 |     Qv.matrix() = v.matrix() * Q.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:68:17:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   68 |     Qv.matrix() = v.matrix() * Q.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:172:27:   required from ‘adelie_core::constraint::ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)> [with auto:91 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  172 |         mu_resid.matrix() = linear.matrix() - (_sgn * _mu).matrix() * Q;
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:98:25:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   98 |         compute_mu_resid(mu_resid);
      |         ~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:219:24:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  219 |         alpha.matrix() = alpha_tmp.matrix() * Q.transpose();
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:219:24:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  219 |         alpha.matrix() = alpha_tmp.matrix() * Q.transpose();
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Derived = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:228:19:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  228 |         alpha_tmp = x.matrix() * Q;
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Derived = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:228:19:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  228 |         alpha_tmp = x.matrix() * Q;
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:277:27:   required from ‘adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:79&)> [with auto:79 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  277 |         mu_resid.matrix() = linear.matrix() - _ATmu.matrix() * Q;
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:98:25:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:79&)>; ComputeMinMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>; ComputeBacktrackAType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:83&, const auto:84&)>; ComputeBacktrackType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:85)>; ComputeGradientType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)>; SaveAdditionalPrevType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   98 |         compute_mu_resid(mu_resid);
      |         ~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:497:26:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  497 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  498 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  500 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  501 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  502 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  503 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  504 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  505 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  507 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  509 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Rhs = Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |                              ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:172:27:   required from ‘adelie_core::constraint::ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)> [with auto:91 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  172 |         mu_resid.matrix() = linear.matrix() - (_sgn * _mu).matrix() * Q;
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:98:25:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   98 |         compute_mu_resid(mu_resid);
      |         ~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:386:23:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  386 |         grad.matrix() = x.matrix() * Q.transpose();
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:386:23:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  386 |         grad.matrix() = x.matrix() * Q.transpose();
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:278:57:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:386:23:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  386 |         grad.matrix() = x.matrix() * Q.transpose();
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:277:27:   required from ‘adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:79&)> [with auto:79 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  277 |         mu_resid.matrix() = linear.matrix() - _ATmu.matrix() * Q;
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:98:25:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:79&)>; ComputeMinMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>; ComputeBacktrackAType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:83&, const auto:84&)>; ComputeBacktrackType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:85)>; ComputeGradientType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)>; SaveAdditionalPrevType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   98 |         compute_mu_resid(mu_resid);
      |         ~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:497:26:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  497 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  498 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  500 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  501 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  502 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  503 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  504 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  505 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  507 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  509 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; U = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; Derived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:362:55:   required from ‘adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:83&, const auto:84&)> [with auto:83 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; auto:84 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  362 |         return (mu_resid.matrix() * Q.transpose()).dot(ATdmu.matrix());
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:178:50:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:79&)>; ComputeMinMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>; ComputeBacktrackAType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:83&, const auto:84&)>; ComputeBacktrackType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:85)>; ComputeGradientType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)>; SaveAdditionalPrevType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  178 |             const value_t b = compute_backtrack_b(Qv, mu_resid);
      |                               ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:497:26:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  497 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  498 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  500 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  501 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  502 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  503 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  504 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  505 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  507 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  509 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:68:17:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   68 |     Qv.matrix() = v.matrix() * Q.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:172:27:   required from ‘adelie_core::constraint::ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)> [with auto:91 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  172 |         mu_resid.matrix() = linear.matrix() - (_sgn * _mu).matrix() * Q;
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:98:25:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   98 |         compute_mu_resid(mu_resid);
      |         ~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:172:27:   required from ‘adelie_core::constraint::ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)> [with auto:91 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  172 |         mu_resid.matrix() = linear.matrix() - (_sgn * _mu).matrix() * Q;
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:98:25:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   98 |         compute_mu_resid(mu_resid);
      |         ~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:219:24:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  219 |         alpha.matrix() = alpha_tmp.matrix() * Q.transpose();
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Derived = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:228:19:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  228 |         alpha_tmp = x.matrix() * Q;
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:277:27:   required from ‘adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:79&)> [with auto:79 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  277 |         mu_resid.matrix() = linear.matrix() - _ATmu.matrix() * Q;
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:98:25:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:79&)>; ComputeMinMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>; ComputeBacktrackAType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:83&, const auto:84&)>; ComputeBacktrackType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:85)>; ComputeGradientType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)>; SaveAdditionalPrevType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   98 |         compute_mu_resid(mu_resid);
      |         ~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:497:26:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  497 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  498 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  500 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  501 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  502 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  503 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  504 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  505 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  507 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  509 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:277:27:   required from ‘adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:79&)> [with auto:79 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  277 |         mu_resid.matrix() = linear.matrix() - _ATmu.matrix() * Q;
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:98:25:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:79&)>; ComputeMinMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>; ComputeBacktrackAType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:83&, const auto:84&)>; ComputeBacktrackType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:85)>; ComputeGradientType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)>; SaveAdditionalPrevType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   98 |         compute_mu_resid(mu_resid);
      |         ~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:497:26:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  497 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  498 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  500 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  501 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  502 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  503 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  504 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  505 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  507 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  509 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; U = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; Derived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:362:55:   required from ‘adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:83&, const auto:84&)> [with auto:83 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; auto:84 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  362 |         return (mu_resid.matrix() * Q.transpose()).dot(ATdmu.matrix());
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:178:50:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:79&)>; ComputeMinMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>; ComputeBacktrackAType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:83&, const auto:84&)>; ComputeBacktrackType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:85)>; ComputeGradientType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)>; SaveAdditionalPrevType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  178 |             const value_t b = compute_backtrack_b(Qv, mu_resid);
      |                               ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:497:26:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  497 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  498 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  500 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  501 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  502 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  503 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  504 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  505 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  507 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  509 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; U = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; Derived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:362:55:   required from ‘adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:83&, const auto:84&)> [with auto:83 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; auto:84 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  362 |         return (mu_resid.matrix() * Q.transpose()).dot(ATdmu.matrix());
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:178:50:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:79&)>; ComputeMinMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>; ComputeBacktrackAType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:83&, const auto:84&)>; ComputeBacktrackType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:85)>; ComputeGradientType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)>; SaveAdditionalPrevType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  178 |             const value_t b = compute_backtrack_b(Qv, mu_resid);
      |                               ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:497:26:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  497 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  498 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  500 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  501 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  502 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  503 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  504 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  505 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  507 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  509 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; U = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; Derived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:362:55:   required from ‘adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:83&, const auto:84&)> [with auto:83 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; auto:84 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  362 |         return (mu_resid.matrix() * Q.transpose()).dot(ATdmu.matrix());
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:178:50:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:79&)>; ComputeMinMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>; ComputeBacktrackAType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:83&, const auto:84&)>; ComputeBacktrackType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:85)>; ComputeGradientType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)>; SaveAdditionalPrevType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  178 |             const value_t b = compute_backtrack_b(Qv, mu_resid);
      |                               ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:497:26:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  497 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  498 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  500 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  501 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  502 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  503 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  504 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  505 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  507 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  509 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:172:27:   required from ‘adelie_core::constraint::ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)> [with auto:91 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  172 |         mu_resid.matrix() = linear.matrix() - (_sgn * _mu).matrix() * Q;
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:98:25:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   98 |         compute_mu_resid(mu_resid);
      |         ~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Derived = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:228:19:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  228 |         alpha_tmp = x.matrix() * Q;
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:277:27:   required from ‘adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:79&)> [with auto:79 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  277 |         mu_resid.matrix() = linear.matrix() - _ATmu.matrix() * Q;
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:98:25:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:79&)>; ComputeMinMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>; ComputeBacktrackAType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:83&, const auto:84&)>; ComputeBacktrackType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:85)>; ComputeGradientType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)>; SaveAdditionalPrevType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   98 |         compute_mu_resid(mu_resid);
      |         ~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:497:26:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  497 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  498 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  500 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  501 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  502 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  503 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  504 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  505 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  507 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  509 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; U = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; Derived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:362:55:   required from ‘adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:83&, const auto:84&)> [with auto:83 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; auto:84 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  362 |         return (mu_resid.matrix() * Q.transpose()).dot(ATdmu.matrix());
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:178:50:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:79&)>; ComputeMinMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>; ComputeBacktrackAType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:83&, const auto:84&)>; ComputeBacktrackType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:85)>; ComputeGradientType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)>; SaveAdditionalPrevType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
  178 |             const value_t b = compute_backtrack_b(Qv, mu_resid);
      |                               ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:497:26:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  497 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  498 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  500 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  501 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  502 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  503 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  504 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  505 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  507 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  509 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:172:27:   required from ‘adelie_core::constraint::ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)> [with auto:91 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  172 |         mu_resid.matrix() = linear.matrix() - (_sgn * _mu).matrix() * Q;
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:98:25:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:91&)>; ComputeMinMuResidType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:92&, bool, bool)>; ComputeBacktrackAType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:93&, const auto:94&)>; ComputeBacktrackType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:95)>; ComputeGradientType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:96&, auto:97)>; SaveAdditionalPrevType = ConstraintOneSided<double, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   98 |         compute_mu_resid(mu_resid);
      |         ~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:242:26:   required from ‘void adelie_core::constraint::ConstraintOneSided<ValueType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t>) [with ValueType = double; IndexType = int; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<ValueType, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  242 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  243 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  245 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  246 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  247 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  248 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  249 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  250 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  251 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  252 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  254 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_one_sided.ipp:136:1:   required from here
   10 |     ConstraintOneSided<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:277:27:   required from ‘adelie_core::constraint::ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:79&)> [with auto:79 = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  277 |         mu_resid.matrix() = linear.matrix() - _ATmu.matrix() * Q;
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/utils.hpp:98:25:   required from ‘void adelie_core::constraint::solve_proximal_newton(Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, ValueType, ValueType, const Eigen::Ref<const Eigen::Matrix<Type, -1, -1> >&, size_t, ValueType, ValueType, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >, ComputeMuResidType, ComputeMinMuResidType, ComputeBacktrackAType, ComputeBacktrackBType, ComputeBacktrackType, ComputeGradientType, ComputeHardOptimalityType, ComputeConvergenceMeasureType, ComputeProximalNewtonStepType, SaveAdditionalPrevType) [with ValueType = double; ComputeMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:79&)>; ComputeMinMuResidType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:80&, bool, bool)>; ComputeBacktrackAType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeBacktrackBType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:83&, const auto:84&)>; ComputeBacktrackType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(auto:85)>; ComputeGradientType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeHardOptimalityType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda()>; ComputeConvergenceMeasureType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; ComputeProximalNewtonStepType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(const auto:86&, auto:87)>; SaveAdditionalPrevType = ConstraintLinear<adelie_core::matrix::MatrixConstraintBase<double, int>, int>::solve(Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, adelie_core::constraint::ConstraintBase<double, int>::value_t, adelie_core::constraint::ConstraintBase<double, int>::value_t, const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >&, Eigen::Ref<Eigen::Array<long unsigned int, 1, -1, 1, 1, -1> >)::<lambda(bool)>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; size_t = long unsigned int]’
   98 |         compute_mu_resid(mu_resid);
      |         ~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:497:26:   required from ‘void adelie_core::constraint::ConstraintLinear<AType, IndexType>::solve(Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t>) [with AType = adelie_core::matrix::MatrixConstraintBase<double, int>; IndexType = int; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::value_t = double; typename std::decay<_Tp>::type = adelie_core::matrix::MatrixConstraintBase<double, int>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::constraint::ConstraintBase<double, int>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::constraint::ConstraintBase<typename std::decay<_Tp>::type::value_t, IndexType>::vec_uint64_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  497 |     solve_proximal_newton(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  498 |         x, quad, linear, l1, l2, Q, _max_iters, _tol, _slack, next_buff,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  499 |         compute_mu_resid,
      |         ~~~~~~~~~~~~~~~~~ 
  500 |         compute_min_mu_resid,
      |         ~~~~~~~~~~~~~~~~~~~~~
  501 |         compute_backtrack_a,
      |         ~~~~~~~~~~~~~~~~~~~~
  502 |         compute_backtrack_b,
      |         ~~~~~~~~~~~~~~~~~~~~
  503 |         compute_backtrack,
      |         ~~~~~~~~~~~~~~~~~~
  504 |         compute_gradient,
      |         ~~~~~~~~~~~~~~~~~ 
  505 |         compute_hard_optimality,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         compute_convergence_measure,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  507 |         compute_proximal_newton_step,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |         save_additional_prev
      |         ~~~~~~~~~~~~~~~~~~~~
  509 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_linear.ipp:226:1:   required from here
   12 |     ConstraintLinear<AType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I../inst/adelie/adelie/src/include -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS  -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include   -fopenmp -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer    -c rcpp_glm.cpp -o rcpp_glm.o
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from decl.h:3,
                 from rcpp_glm.h:2,
                 from rcpp_glm.cpp:1:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 1, -1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from ‘struct Eigen::internal::traits<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29:   required from ‘struct Eigen::internal::traits<const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   23 | template<typename T> struct traits<const T> : traits<T> {};
      |                             ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from ‘struct Eigen::internal::traits<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from ‘class Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >’
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:29:22:   required from ‘class adelie_core::glm::GlmBase<double>’
   29 |     map_cvec_value_t y;
      |                      ^
rcpp_glm.h:186:39:   required from here
  186 |     bool is_multi() const { return ptr->is_multi; }
      |                                       ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 1, -1, 1, 1, -1>’
   45 | class Array
      |       ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49:   required from ‘struct Eigen::internal::traits<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   24 |                              ? PlainObjectType::ColsAtCompileTime
      |                                                 ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from ‘class Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >’
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:29:22:   required from ‘class adelie_core::glm::GlmBase<double>’
   29 |     map_cvec_value_t y;
      |                      ^
rcpp_glm.h:186:39:   required from here
  186 |     bool is_multi() const { return ptr->is_multi; }
      |                                       ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:29:22:   required from ‘class adelie_core::glm::GlmBase<double>’
   29 |     map_cvec_value_t y;
      |                      ^
rcpp_glm.h:186:39:   required from here
  186 |     bool is_multi() const { return ptr->is_multi; }
      |                                       ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
   45 | class Array
      |       ^~~~~
rcpp_glm.h:188:27:   required from here
  188 |     vec_value_t y() const { return ptr->y; }
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
rcpp_glm.h:195:29:   required from here
  195 |         vec_value_t grad(eta.size());
      |                             ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:329:77:   required from ‘class Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >’
  329 | template<typename TPlainObjectType, int Options, typename StrideType> class Ref<const TPlainObjectType, Options, StrideType>
      |                                                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_glm.h:196:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76:   required from ‘class Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >’
  281 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
      |                                                                            ^~~
rcpp_glm.h:196:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1, 1, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1, 1, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1, 1, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, -1, 1, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, -1, 1, -1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1, 1, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, -1, 1, -1, -1>’
   45 | class Array
      |       ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49:   required from ‘struct Eigen::internal::traits<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   24 |                              ? PlainObjectType::ColsAtCompileTime
      |                                                 ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from ‘class Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >’
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:31:22:   required from ‘class adelie_core::glm::GlmMultiBase<double>’
   31 |     map_carr_value_t y;
      |                      ^
rcpp_glm.h:244:39:   required from here
  244 |     bool is_multi() const { return ptr->is_multi; }
      |                                       ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:31:22:   required from ‘class adelie_core::glm::GlmMultiBase<double>’
   31 |     map_carr_value_t y;
      |                      ^
rcpp_glm.h:244:39:   required from here
  244 |     bool is_multi() const { return ptr->is_multi; }
      |                                       ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, -1>’
   45 | class Array
      |       ^~~~~
rcpp_glm.h:246:30:   required from here
  246 |     colarr_value_t y() const { return ptr->y; }
      |                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, -1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, -1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, -1> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Array<double, -1, -1> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
rcpp_glm.h:253:34:   required from here
  253 |         colarr_value_t gradT(etaT.rows(), etaT.cols());
      |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
rcpp_glm.h:255:41:   required from here
  255 |         Eigen::Map<rowarr_value_t> grad(gradT.data(), gradT.cols(), gradT.rows());
      |                                         ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:329:77:   required from ‘class Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’
  329 | template<typename TPlainObjectType, int Options, typename StrideType> class Ref<const TPlainObjectType, Options, StrideType>
      |                                                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_glm.h:256:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76:   required from ‘class Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’
  281 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
      |                                                                            ^~~
rcpp_glm.h:256:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Array<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Array<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Func = assign_op<double, double>]’
  883 |   ActualDstType actualDst(dst);
      |                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Array<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Array<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:288:29:   required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase<OtherDerived>&, typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type) [with OtherDerived = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1; typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type = Eigen::Array<double, -1, 1>::PrivateType; typename OtherDerived::Scalar = double; typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar = double]’
  288 |       : Base(other.derived())
      |                             ^
rcpp_glm.h:188:41:   required from here
  188 |     vec_value_t y() const { return ptr->y; }
      |                                    ~~~~~^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, 1, -1, 1, 1, -1>; Src = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Func = assign_op<double, double>]’
  883 |   ActualDstType actualDst(dst);
      |                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:371:41:   required from ‘void Eigen::Ref<const TPlainObjectType, Options, StrideType>::construct(const Expression&, Eigen::internal::false_type) [with Expression = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array<double, 1, -1, 1, 1, -1>; int Options = 0; StrideType = Eigen::InnerStride<1>]’
  371 |       internal::call_assignment_no_alias(m_object,expr,internal::assign_op<Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:364:18:   required from ‘void Eigen::Ref<const TPlainObjectType, Options, StrideType>::construct(const Expression&, Eigen::internal::true_type) [with Expression = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array<double, 1, -1, 1, 1, -1>; int Options = 0; StrideType = Eigen::InnerStride<1>]’
  364 |         construct(expr, internal::false_type());
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:345:16:   required from ‘Eigen::Ref<const TPlainObjectType, Options, StrideType>::Ref(const Eigen::DenseBase<OtherDerived>&, typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits<Eigen::Ref<const TPlainObjectType, Options, StrideType> >::match<Derived>::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array<double, 1, -1, 1, 1, -1>; int Options = 0; StrideType = Eigen::InnerStride<1>; typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits<Eigen::Ref<const TPlainObjectType, Options, StrideType> >::match<Derived>::ScalarTypeMatch), Derived>::type = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<Eigen::Ref<const TPlainObjectType, Options, StrideType> >::match<Derived> = Eigen::internal::traits<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]’
  345 |       construct(expr.derived(), typename Traits::template match<Derived>::type());
      |       ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_glm.h:196:17:   required from here
  196 |         [&]() { ADELIE_CORE_PIMPL_OVERRIDE(gradient, eta, grad); }();
      |                                                      ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/bits/shared_ptr_base.h:969:16:   required from ‘std::__shared_count<_Lp>::__shared_count(_Tp*&, std::_Sp_alloc_shared_tag<_Alloc>, _Args&& ...) [with _Tp = adelie_core::glm::GlmCox<double, int>; _Alloc = std::allocator<void>; _Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&}; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’
  969 |           auto __pi = ::new (__mem)
      |                       ^~~~~~~~~~~~~
  970 |             _Sp_cp_type(__a._M_a, std::forward<_Args>(__args)...);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/bits/shared_ptr_base.h:1719:14:   required from ‘std::__shared_ptr<_Tp, _Lp>::__shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator<void>; _Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&}; _Tp = adelie_core::glm::GlmCox<double, int>; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’
 1719 |         : _M_ptr(), _M_refcount(_M_ptr, __tag, std::forward<_Args>(__args)...)
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/bits/shared_ptr.h:463:59:   required from ‘std::shared_ptr<_Tp>::shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator<void>; _Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&}; _Tp = adelie_core::glm::GlmCox<double, int>]’
  463 |         : __shared_ptr<_Tp>(__tag, std::forward<_Args>(__args)...)
      |                                                                  ^
/usr/include/c++/15/bits/shared_ptr.h:1007:14:   required from ‘std::shared_ptr<typename std::enable_if<(! std::is_array<_Tp>::value), _Tp>::type> std::make_shared(_Args&& ...) [with _Tp = adelie_core::glm::GlmCox<double, int>; _Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const __cxx11::basic_string<char, char_traits<char>, allocator<char> >&}; typename enable_if<(! is_array<_Tp>::value), _Tp>::type = adelie_core::glm::GlmCox<double, int>]’
 1007 |       return shared_ptr<_Tp>(_Sp_alloc_shared_tag<_Alloc>{__a},
      |              ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1008 |                              std::forward<_Args>(__args)...);
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_glm.h:300:1:   required from ‘RGlmCox64::RGlmCox64(Args&& ...) [with Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&}]’
   41 |             bname(std::make_shared<aname>(std::forward<Args>(args)...)) \
      |                   ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_glm.cpp:34:79:   required from here
   34 |     return new r_glm_cox_64_t(start, stop, status, strata, weights, tie_method);
      |                                                                               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:277:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:340:101:   required by substitution of ‘template<class Derived> Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >::match<Derived>::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>]’
  340 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::ScalarTypeMatch),Derived>::type* = 0)
      |                                                                                                     ^~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:1151:25:   required by substitution of ‘template<class _Tp, class ... _Args> using std::__is_constructible_impl = std::__bool_constant<__is_constructible(_Tp, _Args ...)> [with _Tp = adelie_core::glm::GlmCoxPack<double, int>; _Args = {const Eigen::VectorBlock<const Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, const Eigen::VectorBlock<const Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, const Eigen::VectorBlock<const Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, const Eigen::VectorBlock<const Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&}]’
 1151 |       = __bool_constant<__is_constructible(_Tp, _Args...)>;
      |                         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:1156:12:   required from ‘struct std::is_constructible<adelie_core::glm::GlmCoxPack<double, int>, const Eigen::VectorBlock<const Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, const Eigen::VectorBlock<const Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, const Eigen::VectorBlock<const Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, const Eigen::VectorBlock<const Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&>’
 1156 |     struct is_constructible
      |            ^~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:188:35:   required by substitution of ‘template<class ... _Bn> std::__detail::__first_t<std::integral_constant<bool, true>, typename std::enable_if<(bool)(_Bn::value), void>::type ...> std::__detail::__and_fn(int) [with _Bn = {std::is_constructible<adelie_core::glm::GlmCoxPack<double, int>, const Eigen::VectorBlock<const Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, const Eigen::VectorBlock<const Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, const Eigen::VectorBlock<const Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, const Eigen::VectorBlock<const Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&>, std::__is_nothrow_new_constructible_impl<adelie_core::glm::GlmCoxPack<double, int>, const Eigen::VectorBlock<const Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, const Eigen::VectorBlock<const Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, const Eigen::VectorBlock<const Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, const Eigen::VectorBlock<const Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&>}]’
  188 |                                       __enable_if_t<bool(_Bn::value)>...>;
      |                                                               ^~~~~
/usr/include/c++/15/type_traits:204:42:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/bits/shared_ptr_base.h:969:16:   required from ‘std::__shared_count<_Lp>::__shared_count(_Tp*&, std::_Sp_alloc_shared_tag<_Alloc>, _Args&& ...) [with _Tp = adelie_core::glm::GlmCox<double, int>; _Alloc = std::allocator<void>; _Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&}; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’
  969 |           auto __pi = ::new (__mem)
      |                       ^~~~~~~~~~~~~
  970 |             _Sp_cp_type(__a._M_a, std::forward<_Args>(__args)...);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/bits/shared_ptr_base.h:1719:14:   required from ‘std::__shared_ptr<_Tp, _Lp>::__shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator<void>; _Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&}; _Tp = adelie_core::glm::GlmCox<double, int>; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’
 1719 |         : _M_ptr(), _M_refcount(_M_ptr, __tag, std::forward<_Args>(__args)...)
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/bits/shared_ptr.h:463:59:   required from ‘std::shared_ptr<_Tp>::shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator<void>; _Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&}; _Tp = adelie_core::glm::GlmCox<double, int>]’
  463 |         : __shared_ptr<_Tp>(__tag, std::forward<_Args>(__args)...)
      |                                                                  ^
/usr/include/c++/15/bits/shared_ptr.h:1007:14:   required from ‘std::shared_ptr<typename std::enable_if<(! std::is_array<_Tp>::value), _Tp>::type> std::make_shared(_Args&& ...) [with _Tp = adelie_core::glm::GlmCox<double, int>; _Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const __cxx11::basic_string<char, char_traits<char>, allocator<char> >&}; typename enable_if<(! is_array<_Tp>::value), _Tp>::type = adelie_core::glm::GlmCox<double, int>]’
 1007 |       return shared_ptr<_Tp>(_Sp_alloc_shared_tag<_Alloc>{__a},
      |              ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1008 |                              std::forward<_Args>(__args)...);
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_glm.h:300:1:   required from ‘RGlmCox64::RGlmCox64(Args&& ...) [with Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&}]’
   41 |             bname(std::make_shared<aname>(std::forward<Args>(args)...)) \
      |                   ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_glm.cpp:34:79:   required from here
   34 |     return new r_glm_cox_64_t(start, stop, status, strata, weights, tie_method);
      |                                                                               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/bits/shared_ptr_base.h:969:16:   required from ‘std::__shared_count<_Lp>::__shared_count(_Tp*&, std::_Sp_alloc_shared_tag<_Alloc>, _Args&& ...) [with _Tp = adelie_core::glm::GlmCox<double, int>; _Alloc = std::allocator<void>; _Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&}; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’
  969 |           auto __pi = ::new (__mem)
      |                       ^~~~~~~~~~~~~
  970 |             _Sp_cp_type(__a._M_a, std::forward<_Args>(__args)...);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/bits/shared_ptr_base.h:1719:14:   required from ‘std::__shared_ptr<_Tp, _Lp>::__shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator<void>; _Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&}; _Tp = adelie_core::glm::GlmCox<double, int>; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’
 1719 |         : _M_ptr(), _M_refcount(_M_ptr, __tag, std::forward<_Args>(__args)...)
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/bits/shared_ptr.h:463:59:   required from ‘std::shared_ptr<_Tp>::shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator<void>; _Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&}; _Tp = adelie_core::glm::GlmCox<double, int>]’
  463 |         : __shared_ptr<_Tp>(__tag, std::forward<_Args>(__args)...)
      |                                                                  ^
/usr/include/c++/15/bits/shared_ptr.h:1007:14:   required from ‘std::shared_ptr<typename std::enable_if<(! std::is_array<_Tp>::value), _Tp>::type> std::make_shared(_Args&& ...) [with _Tp = adelie_core::glm::GlmCox<double, int>; _Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const __cxx11::basic_string<char, char_traits<char>, allocator<char> >&}; typename enable_if<(! is_array<_Tp>::value), _Tp>::type = adelie_core::glm::GlmCox<double, int>]’
 1007 |       return shared_ptr<_Tp>(_Sp_alloc_shared_tag<_Alloc>{__a},
      |              ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1008 |                              std::forward<_Args>(__args)...);
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_glm.h:300:1:   required from ‘RGlmCox64::RGlmCox64(Args&& ...) [with Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&}]’
   41 |             bname(std::make_shared<aname>(std::forward<Args>(args)...)) \
      |                   ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_glm.cpp:34:79:   required from here
   34 |     return new r_glm_cox_64_t(start, stop, status, strata, weights, tie_method);
      |                                                                               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/bits/shared_ptr_base.h:969:16:   required from ‘std::__shared_count<_Lp>::__shared_count(_Tp*&, std::_Sp_alloc_shared_tag<_Alloc>, _Args&& ...) [with _Tp = adelie_core::glm::GlmCox<double, int>; _Alloc = std::allocator<void>; _Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&}; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’
  969 |           auto __pi = ::new (__mem)
      |                       ^~~~~~~~~~~~~
  970 |             _Sp_cp_type(__a._M_a, std::forward<_Args>(__args)...);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/bits/shared_ptr_base.h:1719:14:   required from ‘std::__shared_ptr<_Tp, _Lp>::__shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator<void>; _Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&}; _Tp = adelie_core::glm::GlmCox<double, int>; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’
 1719 |         : _M_ptr(), _M_refcount(_M_ptr, __tag, std::forward<_Args>(__args)...)
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/bits/shared_ptr.h:463:59:   required from ‘std::shared_ptr<_Tp>::shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator<void>; _Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&}; _Tp = adelie_core::glm::GlmCox<double, int>]’
  463 |         : __shared_ptr<_Tp>(__tag, std::forward<_Args>(__args)...)
      |                                                                  ^
/usr/include/c++/15/bits/shared_ptr.h:1007:14:   required from ‘std::shared_ptr<typename std::enable_if<(! std::is_array<_Tp>::value), _Tp>::type> std::make_shared(_Args&& ...) [with _Tp = adelie_core::glm::GlmCox<double, int>; _Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const __cxx11::basic_string<char, char_traits<char>, allocator<char> >&}; typename enable_if<(! is_array<_Tp>::value), _Tp>::type = adelie_core::glm::GlmCox<double, int>]’
 1007 |       return shared_ptr<_Tp>(_Sp_alloc_shared_tag<_Alloc>{__a},
      |              ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1008 |                              std::forward<_Args>(__args)...);
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_glm.h:300:1:   required from ‘RGlmCox64::RGlmCox64(Args&& ...) [with Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&}]’
   41 |             bname(std::make_shared<aname>(std::forward<Args>(args)...)) \
      |                   ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_glm.cpp:34:79:   required from here
   34 |     return new r_glm_cox_64_t(start, stop, status, strata, weights, tie_method);
      |                                                                               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:269:26:   required from ‘static auto adelie_core::glm::GlmCoxPack<ValueType, IndexType>::init_weights_size_to(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&) [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  269 |         vec_value_t::Ones(stop_to.size()),
      |         ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:342:41:   required from ‘adelie_core::glm::GlmCoxPack<ValueType, IndexType>::GlmCoxPack(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const std::string&) [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; std::string = std::__cxx11::basic_string<char>]’
  342 |     weights_size_to(init_weights_size_to(
      |                     ~~~~~~~~~~~~~~~~~~~~^
  343 |         stop_to, status_to, weights_to
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
  344 |     )),
      |     ~                                    
/usr/include/c++/15/bits/new_allocator.h:191:4:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/bits/shared_ptr_base.h:969:16:   required from ‘std::__shared_count<_Lp>::__shared_count(_Tp*&, std::_Sp_alloc_shared_tag<_Alloc>, _Args&& ...) [with _Tp = adelie_core::glm::GlmCox<double, int>; _Alloc = std::allocator<void>; _Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&}; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’
  969 |           auto __pi = ::new (__mem)
      |                       ^~~~~~~~~~~~~
  970 |             _Sp_cp_type(__a._M_a, std::forward<_Args>(__args)...);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/bits/shared_ptr_base.h:1719:14:   required from ‘std::__shared_ptr<_Tp, _Lp>::__shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator<void>; _Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&}; _Tp = adelie_core::glm::GlmCox<double, int>; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’
 1719 |         : _M_ptr(), _M_refcount(_M_ptr, __tag, std::forward<_Args>(__args)...)
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/bits/shared_ptr.h:463:59:   required from ‘std::shared_ptr<_Tp>::shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator<void>; _Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&}; _Tp = adelie_core::glm::GlmCox<double, int>]’
  463 |         : __shared_ptr<_Tp>(__tag, std::forward<_Args>(__args)...)
      |                                                                  ^
/usr/include/c++/15/bits/shared_ptr.h:1007:14:   required from ‘std::shared_ptr<typename std::enable_if<(! std::is_array<_Tp>::value), _Tp>::type> std::make_shared(_Args&& ...) [with _Tp = adelie_core::glm::GlmCox<double, int>; _Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const __cxx11::basic_string<char, char_traits<char>, allocator<char> >&}; typename enable_if<(! is_array<_Tp>::value), _Tp>::type = adelie_core::glm::GlmCox<double, int>]’
 1007 |       return shared_ptr<_Tp>(_Sp_alloc_shared_tag<_Alloc>{__a},
      |              ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1008 |                              std::forward<_Args>(__args)...);
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_glm.h:300:1:   required from ‘RGlmCox64::RGlmCox64(Args&& ...) [with Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&}]’
   41 |             bname(std::make_shared<aname>(std::forward<Args>(args)...)) \
      |                   ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_glm.cpp:34:79:   required from here
   34 |     return new r_glm_cox_64_t(start, stop, status, strata, weights, tie_method);
      |                                                                               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/bits/shared_ptr_base.h:969:16:   required from ‘std::__shared_count<_Lp>::__shared_count(_Tp*&, std::_Sp_alloc_shared_tag<_Alloc>, _Args&& ...) [with _Tp = adelie_core::glm::GlmCox<double, int>; _Alloc = std::allocator<void>; _Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&}; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’
  969 |           auto __pi = ::new (__mem)
      |                       ^~~~~~~~~~~~~
  970 |             _Sp_cp_type(__a._M_a, std::forward<_Args>(__args)...);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/bits/shared_ptr_base.h:1719:14:   required from ‘std::__shared_ptr<_Tp, _Lp>::__shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator<void>; _Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&}; _Tp = adelie_core::glm::GlmCox<double, int>; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’
 1719 |         : _M_ptr(), _M_refcount(_M_ptr, __tag, std::forward<_Args>(__args)...)
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/bits/shared_ptr.h:463:59:   required from ‘std::shared_ptr<_Tp>::shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator<void>; _Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&}; _Tp = adelie_core::glm::GlmCox<double, int>]’
  463 |         : __shared_ptr<_Tp>(__tag, std::forward<_Args>(__args)...)
      |                                                                  ^
/usr/include/c++/15/bits/shared_ptr.h:1007:14:   required from ‘std::shared_ptr<typename std::enable_if<(! std::is_array<_Tp>::value), _Tp>::type> std::make_shared(_Args&& ...) [with _Tp = adelie_core::glm::GlmCox<double, int>; _Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const __cxx11::basic_string<char, char_traits<char>, allocator<char> >&}; typename enable_if<(! is_array<_Tp>::value), _Tp>::type = adelie_core::glm::GlmCox<double, int>]’
 1007 |       return shared_ptr<_Tp>(_Sp_alloc_shared_tag<_Alloc>{__a},
      |              ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1008 |                              std::forward<_Args>(__args)...);
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_glm.h:300:1:   required from ‘RGlmCox64::RGlmCox64(Args&& ...) [with Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&}]’
   41 |             bname(std::make_shared<aname>(std::forward<Args>(args)...)) \
      |                   ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_glm.cpp:34:79:   required from here
   34 |     return new r_glm_cox_64_t(start, stop, status, strata, weights, tie_method);
      |                                                                               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, -1, -1> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, -1, -1> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, -1, -1> > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
rcpp_glm.h:116:17:   required from ‘void adelie_core::glm::GlmMultiS4<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  114 |         grad = Rcpp::as<Eigen::Map<colarr_value_t>>(
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             ADELIE_CORE_S4_PURE_OVERRIDE(gradient, _glm, etaT_r)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  116 |         ).matrix().transpose().array();
      |         ~~~~~~~~^~
rcpp_glm.h:108:10:   required from here
  108 |     void gradient(
      |          ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, -1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, -1, -1> > > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, -1, -1> > > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, -1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, -1, -1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, -1, -1> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, -1, -1> > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
rcpp_glm.h:116:29:   required from ‘void adelie_core::glm::GlmMultiS4<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  114 |         grad = Rcpp::as<Eigen::Map<colarr_value_t>>(
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             ADELIE_CORE_S4_PURE_OVERRIDE(gradient, _glm, etaT_r)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  116 |         ).matrix().transpose().array();
      |         ~~~~~~~~~~~~~~~~~~~~^~
rcpp_glm.h:108:10:   required from here
  108 |     void gradient(
      |          ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, -1, -1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, -1, -1> > > > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, -1, -1> > > > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, -1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, -1, -1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, -1, -1> > > > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
rcpp_glm.h:116:37:   required from ‘void adelie_core::glm::GlmMultiS4<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  114 |         grad = Rcpp::as<Eigen::Map<colarr_value_t>>(
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             ADELIE_CORE_S4_PURE_OVERRIDE(gradient, _glm, etaT_r)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  116 |         ).matrix().transpose().array();
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_glm.h:108:10:   required from here
  108 |     void gradient(
      |          ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:977:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
  977 | struct evaluator<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71:   required from ‘struct Eigen::internal::evaluator<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
 1018 |     Flags = evaluator<Map<PlainObjectType, RefOptions, StrideType> >::Flags,
      |                                                                       ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >::match<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:340:101:   required by substitution of ‘template<class Derived> Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >::match<Derived>::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >]’
  340 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::ScalarTypeMatch),Derived>::type* = 0)
      |                                                                                                     ^~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.ipp:32:31:   required from ‘void adelie_core::glm::GlmMultiBase<ValueType>::inv_hessian_gradient(const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, Eigen::Ref<Eigen::Array<ValueType, -1, -1, 1, -1, -1> >) [with ValueType = double; typename Eigen::internal::conditional<const Eigen::Array<ValueType, -1, -1, 1, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<Eigen::Array<ValueType, -1, -1, 1, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   32 |     check_inv_hessian_gradient(eta, grad, hess, inv_hess_grad);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.ipp:25:1:   required from here
   13 |     GlmMultiBase<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.ipp:34:17:   required from ‘void adelie_core::glm::GlmMultiBase<ValueType>::inv_hessian_gradient(const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, Eigen::Ref<Eigen::Array<ValueType, -1, -1, 1, -1, -1> >) [with ValueType = double; typename Eigen::internal::conditional<const Eigen::Array<ValueType, -1, -1, 1, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<Eigen::Array<ValueType, -1, -1, 1, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   34 |         hess.max(0) +
      |         ~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.ipp:25:1:   required from here
   13 |     GlmMultiBase<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.ipp:34:17:   required from ‘void adelie_core::glm::GlmMultiBase<ValueType>::inv_hessian_gradient(const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, Eigen::Ref<Eigen::Array<ValueType, -1, -1, 1, -1, -1> >) [with ValueType = double; typename Eigen::internal::conditional<const Eigen::Array<ValueType, -1, -1, 1, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<Eigen::Array<ValueType, -1, -1, 1, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   34 |         hess.max(0) +
      |         ~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.ipp:25:1:   required from here
   13 |     GlmMultiBase<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from ‘struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > >’
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179:   required from ‘struct Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > >::CastXpr<double>’
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of ‘template<class NewType> typename Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > >::cast() const [with NewType = double]’
   62 | cast() const
      | ^~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.ipp:35:75:   required from ‘void adelie_core::glm::GlmMultiBase<ValueType>::inv_hessian_gradient(const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, Eigen::Ref<Eigen::Array<ValueType, -1, -1, 1, -1, -1> >) [with ValueType = double; typename Eigen::internal::conditional<const Eigen::Array<ValueType, -1, -1, 1, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<Eigen::Array<ValueType, -1, -1, 1, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   35 |         value_t(Configs::hessian_min) * (hess <= 0).template cast<value_t>()
      |                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.ipp:25:1:   required from here
   13 |     GlmMultiBase<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.ipp:35:39:   required from ‘void adelie_core::glm::GlmMultiBase<ValueType>::inv_hessian_gradient(const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, Eigen::Ref<Eigen::Array<ValueType, -1, -1, 1, -1, -1> >) [with ValueType = double; typename Eigen::internal::conditional<const Eigen::Array<ValueType, -1, -1, 1, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<Eigen::Array<ValueType, -1, -1, 1, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   35 |         value_t(Configs::hessian_min) * (hess <= 0).template cast<value_t>()
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.ipp:25:1:   required from here
   13 |     GlmMultiBase<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.ipp:35:39:   required from ‘void adelie_core::glm::GlmMultiBase<ValueType>::inv_hessian_gradient(const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, Eigen::Ref<Eigen::Array<ValueType, -1, -1, 1, -1, -1> >) [with ValueType = double; typename Eigen::internal::conditional<const Eigen::Array<ValueType, -1, -1, 1, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<Eigen::Array<ValueType, -1, -1, 1, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   35 |         value_t(Configs::hessian_min) * (hess <= 0).template cast<value_t>()
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.ipp:25:1:   required from here
   13 |     GlmMultiBase<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.ipp:34:21:   required from ‘void adelie_core::glm::GlmMultiBase<ValueType>::inv_hessian_gradient(const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, Eigen::Ref<Eigen::Array<ValueType, -1, -1, 1, -1, -1> >) [with ValueType = double; typename Eigen::internal::conditional<const Eigen::Array<ValueType, -1, -1, 1, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<Eigen::Array<ValueType, -1, -1, 1, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   33 |     inv_hess_grad = grad / (
      |                            ~
   34 |         hess.max(0) +
      |         ~~~~~~~~~~~~^
   35 |         value_t(Configs::hessian_min) * (hess <= 0).template cast<value_t>()
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |     );
      |     ~                
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.ipp:25:1:   required from here
   13 |     GlmMultiBase<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.ipp:33:26:   required from ‘void adelie_core::glm::GlmMultiBase<ValueType>::inv_hessian_gradient(const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, Eigen::Ref<Eigen::Array<ValueType, -1, -1, 1, -1, -1> >) [with ValueType = double; typename Eigen::internal::conditional<const Eigen::Array<ValueType, -1, -1, 1, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<Eigen::Array<ValueType, -1, -1, 1, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   33 |     inv_hess_grad = grad / (
      |                     ~~~~~^~~
   34 |         hess.max(0) +
      |         ~~~~~~~~~~~~~     
   35 |         value_t(Configs::hessian_min) * (hess <= 0).template cast<value_t>()
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.ipp:25:1:   required from here
   13 |     GlmMultiBase<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > > > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >::match<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > > > >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > > >]’
  288 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
      |                                                                                                     ^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.ipp:33:19:   required from ‘void adelie_core::glm::GlmMultiBase<ValueType>::inv_hessian_gradient(const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, Eigen::Ref<Eigen::Array<ValueType, -1, -1, 1, -1, -1> >) [with ValueType = double; typename Eigen::internal::conditional<const Eigen::Array<ValueType, -1, -1, 1, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<Eigen::Array<ValueType, -1, -1, 1, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   33 |     inv_hess_grad = grad / (
      |     ~~~~~~~~~~~~~~^~~~~~~~~~
   34 |         hess.max(0) +
      |         ~~~~~~~~~~~~~
   35 |         value_t(Configs::hessian_min) * (hess <= 0).template cast<value_t>()
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |     );
      |     ~              
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.ipp:25:1:   required from here
   13 |     GlmMultiBase<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::internal::member_maxCoeff<double, double>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::internal::member_maxCoeff<double, double>, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::PartialReduxExpr<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::internal::member_maxCoeff<double, double>, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::internal::member_maxCoeff<double, double>, 1>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:31:37:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   31 |     eta_max = eta.rowwise().maxCoeff();
      |               ~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:24:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:32:43:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   32 |     grad = (eta.colwise() - eta_max.matrix().transpose().array()).exp();
      |                             ~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:24:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:32:55:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   32 |     grad = (eta.colwise() - eta_max.matrix().transpose().array()).exp();
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:24:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:32:63:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   32 |     grad = (eta.colwise() - eta_max.matrix().transpose().array()).exp();
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:24:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from ‘class Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1>’
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:32:27:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   32 |     grad = (eta.colwise() - eta_max.matrix().transpose().array()).exp();
      |            ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:24:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:32:27:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   32 |     grad = (eta.colwise() - eta_max.matrix().transpose().array()).exp();
      |            ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:24:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:32:70:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   32 |     grad = (eta.colwise() - eta_max.matrix().transpose().array()).exp();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:24:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::internal::member_sum<double, double>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::internal::member_sum<double, double>, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::PartialReduxExpr<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::internal::member_sum<double, double>, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::internal::member_sum<double, double>, 1>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:34:33:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   34 |     sum_exp = grad.rowwise().sum();
      |               ~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:24:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:36:29:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   36 |         (y - grad.colwise() / sum_exp.matrix().transpose().array()).colwise() *
      |              ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:24:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:36:12:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   36 |         (y - grad.colwise() / sum_exp.matrix().transpose().array()).colwise() *
      |         ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:24:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:37:23:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   37 |         weights.matrix().transpose().array() / eta.cols()
      |         ~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:24:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:37:35:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   37 |         weights.matrix().transpose().array() / eta.cols()
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:24:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:37:43:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   37 |         weights.matrix().transpose().array() / eta.cols()
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:24:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from ‘class Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1>’
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:36:79:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   36 |         (y - grad.colwise() / sum_exp.matrix().transpose().array()).colwise() *
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   37 |         weights.matrix().transpose().array() / eta.cols()
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                   
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:24:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:36:79:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   36 |         (y - grad.colwise() / sum_exp.matrix().transpose().array()).colwise() *
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   37 |         weights.matrix().transpose().array() / eta.cols()
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                   
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:24:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:37:46:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   35 |     grad = (
      |            ~                                  
   36 |         (y - grad.colwise() / sum_exp.matrix().transpose().array()).colwise() *
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   37 |         weights.matrix().transpose().array() / eta.cols()
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
   38 |     );
      |     ~                                         
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:24:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:52:21:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   52 |         y.colwise() * weights.matrix().transpose().array() / eta.cols()
      |         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:43:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:52:60:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   52 |         y.colwise() * weights.matrix().transpose().array() / eta.cols()
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:43:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:53:9:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   51 |     hess = (
      |            ~
   52 |         y.colwise() * weights.matrix().transpose().array() / eta.cols()
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   53 |         - grad
      |         ^~~~~~
   54 |     );
      |     ~    
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:43:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from ‘struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179:   required from ‘struct Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >::CastXpr<double>’
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of ‘template<class NewType> typename Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >::cast() const [with NewType = double]’
   62 | cast() const
      | ^~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:58:61:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   58 |             (weights + (weights <= 0).template cast<value_t>()).matrix().transpose().array()
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:43:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:58:22:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   58 |             (weights + (weights <= 0).template cast<value_t>()).matrix().transpose().array()
      |             ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:43:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:58:71:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   58 |             (weights + (weights <= 0).template cast<value_t>()).matrix().transpose().array()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:43:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:58:83:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   58 |             (weights + (weights <= 0).template cast<value_t>()).matrix().transpose().array()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:43:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:58:91:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   58 |             (weights + (weights <= 0).template cast<value_t>()).matrix().transpose().array()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:43:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from ‘class Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1>’
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:57:28:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   56 |     hess *= 2 * (1 - grad.cols() * (
      |                                    ~
   57 |             hess.colwise() /
      |             ~~~~~~~~~~~~~~~^
   58 |             (weights + (weights <= 0).template cast<value_t>()).matrix().transpose().array()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   59 |         )
      |         ~                   
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:43:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:57:28:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   56 |     hess *= 2 * (1 - grad.cols() * (
      |                                    ~
   57 |             hess.colwise() /
      |             ~~~~~~~~~~~~~~~^
   58 |             (weights + (weights <= 0).template cast<value_t>()).matrix().transpose().array()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   59 |         )
      |         ~                   
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:43:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:56:34:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   56 |     hess *= 2 * (1 - grad.cols() * (
      |                      ~~~~~~~~~~~~^~~
   57 |             hess.colwise() /
      |             ~~~~~~~~~~~~~~~~      
   58 |             (weights + (weights <= 0).template cast<value_t>()).matrix().transpose().array()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   59 |         )
      |         ~                         
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:43:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:56:20:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   56 |     hess *= 2 * (1 - grad.cols() * (
      |                 ~~~^~~~~~~~~~~~~~~~~
   57 |             hess.colwise() /
      |             ~~~~~~~~~~~~~~~~
   58 |             (weights + (weights <= 0).template cast<value_t>()).matrix().transpose().array()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   59 |         )
      |         ~           
   60 |     );
      |     ~               
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:43:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:56:15:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   56 |     hess *= 2 * (1 - grad.cols() * (
      |             ~~^~~~~~~~~~~~~~~~~~~~~~
   57 |             hess.colwise() /
      |             ~~~~~~~~~~~~~~~~
   58 |             (weights + (weights <= 0).template cast<value_t>()).matrix().transpose().array()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   59 |         )
      |         ~      
   60 |     );
      |     ~          
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:43:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:76:18:   required from ‘typename adelie_core::glm::GlmMultinomial<ValueType>::base_t::value_t adelie_core::glm::GlmMultinomial<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   76 |             - (y * eta_shift).rowwise().sum()
      |               ~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:65:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:76:44:   required from ‘typename adelie_core::glm::GlmMultinomial<ValueType>::base_t::value_t adelie_core::glm::GlmMultinomial<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   76 |             - (y * eta_shift).rowwise().sum()
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:65:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:76:13:   required from ‘typename adelie_core::glm::GlmMultinomial<ValueType>::base_t::value_t adelie_core::glm::GlmMultinomial<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   76 |             - (y * eta_shift).rowwise().sum()
      |             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:65:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:77:28:   required from ‘typename adelie_core::glm::GlmMultinomial<ValueType>::base_t::value_t adelie_core::glm::GlmMultinomial<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   77 |             + eta_shift.exp().rowwise().sum().log()
      |               ~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:65:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:77:44:   required from ‘typename adelie_core::glm::GlmMultinomial<ValueType>::base_t::value_t adelie_core::glm::GlmMultinomial<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   77 |             + eta_shift.exp().rowwise().sum().log()
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:65:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:77:50:   required from ‘typename adelie_core::glm::GlmMultinomial<ValueType>::base_t::value_t adelie_core::glm::GlmMultinomial<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   77 |             + eta_shift.exp().rowwise().sum().log()
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:65:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:77:13:   required from ‘typename adelie_core::glm::GlmMultinomial<ValueType>::base_t::value_t adelie_core::glm::GlmMultinomial<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   75 |         weights.matrix().transpose().array() * (
      |                                                ~
   76 |             - (y * eta_shift).rowwise().sum()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   77 |             + eta_shift.exp().rowwise().sum().log()
      |             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   78 |         )
      |         ~    
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:65:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:75:46:   required from ‘typename adelie_core::glm::GlmMultinomial<ValueType>::base_t::value_t adelie_core::glm::GlmMultinomial<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   74 |     return (
      |            ~                                  
   75 |         weights.matrix().transpose().array() * (
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   76 |             - (y * eta_shift).rowwise().sum()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 
   77 |             + eta_shift.exp().rowwise().sum().log()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   78 |         )
      |         ~                                     
   79 |     ).sum() / y.cols();
      |     ~                                         
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:65:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.ipp:23:15:   required from ‘void adelie_core::glm::GlmMultiGaussian<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   23 |     grad = ((y-eta).colwise() * weights.matrix().transpose().array()) / eta.cols();
      |             ~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.ipp:17:1:   required from here
   10 |     GlmMultiGaussian<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.ipp:23:31:   required from ‘void adelie_core::glm::GlmMultiGaussian<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   23 |     grad = ((y-eta).colwise() * weights.matrix().transpose().array()) / eta.cols();
      |            ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.ipp:17:1:   required from here
   10 |     GlmMultiGaussian<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.ipp:23:71:   required from ‘void adelie_core::glm::GlmMultiGaussian<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   23 |     grad = ((y-eta).colwise() * weights.matrix().transpose().array()) / eta.cols();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.ipp:17:1:   required from here
   10 |     GlmMultiGaussian<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.ipp:35:59:   required from ‘void adelie_core::glm::GlmMultiGaussian<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   35 |     hess.colwise() = weights.matrix().transpose().array() / hess.cols();
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.ipp:28:1:   required from here
   10 |     GlmMultiGaussian<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.ipp:35:59:   required from ‘void adelie_core::glm::GlmMultiGaussian<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   35 |     hess.colwise() = weights.matrix().transpose().array() / hess.cols();
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.ipp:28:1:   required from here
   10 |     GlmMultiGaussian<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.ipp:47:26:   required from ‘typename adelie_core::glm::GlmMultiGaussian<ValueType>::base_t::value_t adelie_core::glm::GlmMultiGaussian<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   47 |         (0.5 * eta.square() - y * eta).rowwise().sum()
      |                ~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.ipp:40:1:   required from here
   10 |     GlmMultiGaussian<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.ipp:47:14:   required from ‘typename adelie_core::glm::GlmMultiGaussian<ValueType>::base_t::value_t adelie_core::glm::GlmMultiGaussian<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   47 |         (0.5 * eta.square() - y * eta).rowwise().sum()
      |          ~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.ipp:40:1:   required from here
   10 |     GlmMultiGaussian<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.ipp:47:33:   required from ‘typename adelie_core::glm::GlmMultiGaussian<ValueType>::base_t::value_t adelie_core::glm::GlmMultiGaussian<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   47 |         (0.5 * eta.square() - y * eta).rowwise().sum()
      |                               ~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.ipp:40:1:   required from here
   10 |     GlmMultiGaussian<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.ipp:47:29:   required from ‘typename adelie_core::glm::GlmMultiGaussian<ValueType>::base_t::value_t adelie_core::glm::GlmMultiGaussian<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   47 |         (0.5 * eta.square() - y * eta).rowwise().sum()
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.ipp:40:1:   required from here
   10 |     GlmMultiGaussian<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.ipp:47:53:   required from ‘typename adelie_core::glm::GlmMultiGaussian<ValueType>::base_t::value_t adelie_core::glm::GlmMultiGaussian<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   47 |         (0.5 * eta.square() - y * eta).rowwise().sum()
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.ipp:40:1:   required from here
   10 |     GlmMultiGaussian<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.ipp:46:46:   required from ‘typename adelie_core::glm::GlmMultiGaussian<ValueType>::base_t::value_t adelie_core::glm::GlmMultiGaussian<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   45 |     return (
      |            ~                                  
   46 |         weights.matrix().transpose().array() *
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   47 |         (0.5 * eta.square() - y * eta).rowwise().sum()
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   48 |     ).sum() / y.cols();
      |     ~                                         
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.ipp:40:1:   required from here
   10 |     GlmMultiGaussian<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.ipp:56:18:   required from ‘typename adelie_core::glm::GlmMultiGaussian<ValueType>::base_t::value_t adelie_core::glm::GlmMultiGaussian<ValueType>::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>]’
   56 |         (y.square().colwise() * weights.matrix().transpose().array()).sum()
      |          ~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.ipp:53:1:   required from here
   10 |     GlmMultiGaussian<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.ipp:56:31:   required from ‘typename adelie_core::glm::GlmMultiGaussian<ValueType>::base_t::value_t adelie_core::glm::GlmMultiGaussian<ValueType>::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>]’
   56 |         (y.square().colwise() * weights.matrix().transpose().array()).sum()
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.ipp:53:1:   required from here
   10 |     GlmMultiGaussian<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.ipp:34:17:   required from ‘void adelie_core::glm::GlmBase<ValueType>::inv_hessian_gradient(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) [with ValueType = double; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   34 |         hess.max(0) +
      |         ~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.ipp:25:1:   required from here
   13 |     GlmBase<ValueType>
      |     ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from ‘struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179:   required from ‘struct Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >::CastXpr<double>’
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of ‘template<class NewType> typename Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >::cast() const [with NewType = double]’
   62 | cast() const
      | ^~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.ipp:35:75:   required from ‘void adelie_core::glm::GlmBase<ValueType>::inv_hessian_gradient(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) [with ValueType = double; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   35 |         value_t(Configs::hessian_min) * (hess <= 0).template cast<value_t>()
      |                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.ipp:25:1:   required from here
   13 |     GlmBase<ValueType>
      |     ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.ipp:35:39:   required from ‘void adelie_core::glm::GlmBase<ValueType>::inv_hessian_gradient(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) [with ValueType = double; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   35 |         value_t(Configs::hessian_min) * (hess <= 0).template cast<value_t>()
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.ipp:25:1:   required from here
   13 |     GlmBase<ValueType>
      |     ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.ipp:35:39:   required from ‘void adelie_core::glm::GlmBase<ValueType>::inv_hessian_gradient(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) [with ValueType = double; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   35 |         value_t(Configs::hessian_min) * (hess <= 0).template cast<value_t>()
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.ipp:25:1:   required from here
   13 |     GlmBase<ValueType>
      |     ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.ipp:34:21:   required from ‘void adelie_core::glm::GlmBase<ValueType>::inv_hessian_gradient(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) [with ValueType = double; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   33 |     inv_hess_grad = grad / (
      |                            ~
   34 |         hess.max(0) +
      |         ~~~~~~~~~~~~^
   35 |         value_t(Configs::hessian_min) * (hess <= 0).template cast<value_t>()
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |     );
      |     ~                
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.ipp:25:1:   required from here
   13 |     GlmBase<ValueType>
      |     ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.ipp:33:26:   required from ‘void adelie_core::glm::GlmBase<ValueType>::inv_hessian_gradient(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) [with ValueType = double; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   33 |     inv_hess_grad = grad / (
      |                     ~~~~~^~~
   34 |         hess.max(0) +
      |         ~~~~~~~~~~~~~     
   35 |         value_t(Configs::hessian_min) * (hess <= 0).template cast<value_t>()
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.ipp:25:1:   required from here
   13 |     GlmBase<ValueType>
      |     ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.ipp:23:34:   required from ‘void adelie_core::glm::GlmPoisson<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   23 |     grad = weights * (y - eta.exp());
      |                           ~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.ipp:17:1:   required from here
   10 |     GlmPoisson<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.ipp:23:25:   required from ‘void adelie_core::glm::GlmPoisson<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   23 |     grad = weights * (y - eta.exp());
      |                      ~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.ipp:17:1:   required from here
   10 |     GlmPoisson<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.ipp:23:20:   required from ‘void adelie_core::glm::GlmPoisson<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   23 |     grad = weights * (y - eta.exp());
      |            ~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.ipp:17:1:   required from here
   10 |     GlmPoisson<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.ipp:35:20:   required from ‘void adelie_core::glm::GlmPoisson<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   35 |     hess = weights * y - grad;
      |            ~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.ipp:28:1:   required from here
   10 |     GlmPoisson<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.ipp:35:24:   required from ‘void adelie_core::glm::GlmPoisson<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   35 |     hess = weights * y - grad;
      |            ~~~~~~~~~~~~^~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.ipp:28:1:   required from here
   10 |     GlmPoisson<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.ipp:46:25:   required from ‘typename adelie_core::glm::GlmPoisson<ValueType>::base_t::value_t adelie_core::glm::GlmPoisson<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   46 |     return (weights * ((-eta).min(std::numeric_limits<value_t>::max()) * y + eta.exp())).sum();
      |                        ~^~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.ipp:40:1:   required from here
   10 |     GlmPoisson<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.ipp:46:34:   required from ‘typename adelie_core::glm::GlmPoisson<ValueType>::base_t::value_t adelie_core::glm::GlmPoisson<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   46 |     return (weights * ((-eta).min(std::numeric_limits<value_t>::max()) * y + eta.exp())).sum();
      |                        ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.ipp:40:1:   required from here
   10 |     GlmPoisson<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.ipp:46:72:   required from ‘typename adelie_core::glm::GlmPoisson<ValueType>::base_t::value_t adelie_core::glm::GlmPoisson<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   46 |     return (weights * ((-eta).min(std::numeric_limits<value_t>::max()) * y + eta.exp())).sum();
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.ipp:40:1:   required from here
   10 |     GlmPoisson<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.ipp:46:76:   required from ‘typename adelie_core::glm::GlmPoisson<ValueType>::base_t::value_t adelie_core::glm::GlmPoisson<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   46 |     return (weights * ((-eta).min(std::numeric_limits<value_t>::max()) * y + eta.exp())).sum();
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.ipp:40:1:   required from here
   10 |     GlmPoisson<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.ipp:46:21:   required from ‘typename adelie_core::glm::GlmPoisson<ValueType>::base_t::value_t adelie_core::glm::GlmPoisson<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   46 |     return (weights * ((-eta).min(std::numeric_limits<value_t>::max()) * y + eta.exp())).sum();
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.ipp:40:1:   required from here
   10 |     GlmPoisson<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.ipp:53:31:   required from ‘typename adelie_core::glm::GlmPoisson<ValueType>::base_t::value_t adelie_core::glm::GlmPoisson<ValueType>::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>]’
   53 |     return (weights * ((-y.log()).min(std::numeric_limits<value_t>::max()) * y + y)).sum();
      |                          ~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.ipp:51:1:   required from here
   10 |     GlmPoisson<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.ipp:53:25:   required from ‘typename adelie_core::glm::GlmPoisson<ValueType>::base_t::value_t adelie_core::glm::GlmPoisson<ValueType>::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>]’
   53 |     return (weights * ((-y.log()).min(std::numeric_limits<value_t>::max()) * y + y)).sum();
      |                        ~^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.ipp:51:1:   required from here
   10 |     GlmPoisson<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.ipp:53:38:   required from ‘typename adelie_core::glm::GlmPoisson<ValueType>::base_t::value_t adelie_core::glm::GlmPoisson<ValueType>::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>]’
   53 |     return (weights * ((-y.log()).min(std::numeric_limits<value_t>::max()) * y + y)).sum();
      |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.ipp:51:1:   required from here
   10 |     GlmPoisson<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.ipp:53:76:   required from ‘typename adelie_core::glm::GlmPoisson<ValueType>::base_t::value_t adelie_core::glm::GlmPoisson<ValueType>::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>]’
   53 |     return (weights * ((-y.log()).min(std::numeric_limits<value_t>::max()) * y + y)).sum();
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.ipp:51:1:   required from here
   10 |     GlmPoisson<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.ipp:53:80:   required from ‘typename adelie_core::glm::GlmPoisson<ValueType>::base_t::value_t adelie_core::glm::GlmPoisson<ValueType>::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>]’
   53 |     return (weights * ((-y.log()).min(std::numeric_limits<value_t>::max()) * y + y)).sum();
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.ipp:51:1:   required from here
   10 |     GlmPoisson<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.ipp:53:21:   required from ‘typename adelie_core::glm::GlmPoisson<ValueType>::base_t::value_t adelie_core::glm::GlmPoisson<ValueType>::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>]’
   53 |     return (weights * ((-y.log()).min(std::numeric_limits<value_t>::max()) * y + y)).sum();
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.ipp:51:1:   required from here
   10 |     GlmPoisson<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.ipp:23:25:   required from ‘void adelie_core::glm::GlmGaussian<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   23 |     grad = weights * (y - eta);
      |                      ~~~^~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.ipp:17:1:   required from here
   10 |     GlmGaussian<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.ipp:23:20:   required from ‘void adelie_core::glm::GlmGaussian<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   23 |     grad = weights * (y - eta);
      |            ~~~~~~~~^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.ipp:17:1:   required from here
   10 |     GlmGaussian<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.ipp:45:40:   required from ‘typename adelie_core::glm::GlmGaussian<ValueType>::base_t::value_t adelie_core::glm::GlmGaussian<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   45 |     return (weights * (0.5 * eta.square() - y * eta)).sum();
      |                              ~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.ipp:40:1:   required from here
   10 |     GlmGaussian<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.ipp:45:28:   required from ‘typename adelie_core::glm::GlmGaussian<ValueType>::base_t::value_t adelie_core::glm::GlmGaussian<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   45 |     return (weights * (0.5 * eta.square() - y * eta)).sum();
      |                        ~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.ipp:40:1:   required from here
   10 |     GlmGaussian<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.ipp:45:47:   required from ‘typename adelie_core::glm::GlmGaussian<ValueType>::base_t::value_t adelie_core::glm::GlmGaussian<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   45 |     return (weights * (0.5 * eta.square() - y * eta)).sum();
      |                                             ~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.ipp:40:1:   required from here
   10 |     GlmGaussian<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.ipp:45:43:   required from ‘typename adelie_core::glm::GlmGaussian<ValueType>::base_t::value_t adelie_core::glm::GlmGaussian<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   45 |     return (weights * (0.5 * eta.square() - y * eta)).sum();
      |                       ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.ipp:40:1:   required from here
   10 |     GlmGaussian<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.ipp:45:21:   required from ‘typename adelie_core::glm::GlmGaussian<ValueType>::base_t::value_t adelie_core::glm::GlmGaussian<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   45 |     return (weights * (0.5 * eta.square() - y * eta)).sum();
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.ipp:40:1:   required from here
   10 |     GlmGaussian<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.ipp:52:28:   required from ‘typename adelie_core::glm::GlmGaussian<ValueType>::base_t::value_t adelie_core::glm::GlmGaussian<ValueType>::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>]’
   52 |     return -0.5 * (y.square() * weights).sum();
      |                    ~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.ipp:50:1:   required from here
   10 |     GlmGaussian<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.ipp:52:31:   required from ‘typename adelie_core::glm::GlmGaussian<ValueType>::base_t::value_t adelie_core::glm::GlmGaussian<ValueType>::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>]’
   52 |     return -0.5 * (y.square() * weights).sum();
      |                   ~~~~~~~~~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.ipp:50:1:   required from here
   10 |     GlmGaussian<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:656:34:   required from ‘void adelie_core::glm::GlmCox<ValueType, IndexType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  656 |     auto eta_sto = buffer.segment(0, n);
      |                    ~~~~~~~~~~~~~~^~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:649:1:   required from here
   19 |     GlmCox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>]’
  288 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
      |                                                                                                     ^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:659:18:   required from ‘void adelie_core::glm::GlmCox<ValueType, IndexType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  659 |     init_in_order(eta, strata_order, eta_sto);
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:649:1:   required from here
   19 |     GlmCox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:666:28:   required from ‘void adelie_core::glm::GlmCox<ValueType, IndexType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  666 |             eta_sto.segment(bi, si),
      |             ~~~~~~~~~~~~~~~^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:649:1:   required from here
   19 |     GlmCox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false> >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:340:101:   required by substitution of ‘template<class Derived> Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >::match<Derived>::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false>]’
  340 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::ScalarTypeMatch),Derived>::type* = 0)
      |                                                                                                     ^~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:665:22:   required from ‘void adelie_core::glm::GlmCox<ValueType, IndexType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  665 |         pack.gradient(
      |         ~~~~~~~~~~~~~^
  666 |             eta_sto.segment(bi, si),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  667 |             grad_sto.segment(bi, si)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  668 |         );
      |         ~             
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:649:1:   required from here
   19 |     GlmCox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:108:26:   required from ‘static auto adelie_core::glm::GlmBinomialProbit<ValueType>::std_cdf(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  108 |     return 0.5 * (1 + (x / sqrt_2).erf());
      |                       ~~~^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:139:19:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  139 |     grad = std_cdf(eta);
      |            ~~~~~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:132:1:   required from here
   19 |     GlmBinomialProbit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_erf_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_erf_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_erf_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_erf_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_erf_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:108:39:   required from ‘static auto adelie_core::glm::GlmBinomialProbit<ValueType>::std_cdf(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  108 |     return 0.5 * (1 + (x / sqrt_2).erf());
      |                       ~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:139:19:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  139 |     grad = std_cdf(eta);
      |            ~~~~~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:132:1:   required from here
   19 |     GlmBinomialProbit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_erf_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_erf_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_erf_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_erf_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_erf_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:108:21:   required from ‘static auto adelie_core::glm::GlmBinomialProbit<ValueType>::std_cdf(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  108 |     return 0.5 * (1 + (x / sqrt_2).erf());
      |                  ~~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:139:19:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  139 |     grad = std_cdf(eta);
      |            ~~~~~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:132:1:   required from here
   19 |     GlmBinomialProbit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_erf_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_erf_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_erf_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_erf_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_erf_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:108:16:   required from ‘static auto adelie_core::glm::GlmBinomialProbit<ValueType>::std_cdf(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  108 |     return 0.5 * (1 + (x / sqrt_2).erf());
      |            ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:139:19:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  139 |     grad = std_cdf(eta);
      |            ~~~~~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:132:1:   required from here
   19 |     GlmBinomialProbit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:118:50:   required from ‘static auto adelie_core::glm::GlmBinomialProbit<ValueType>::std_pdf(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  118 |     return sqrt_2pi_inv * (-0.5 * x.square()).exp();
      |                           ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:140:29:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  140 |     grad = weights * std_pdf(eta) * (
      |                      ~~~~~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:132:1:   required from here
   19 |     GlmBinomialProbit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:118:25:   required from ‘static auto adelie_core::glm::GlmBinomialProbit<ValueType>::std_pdf(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  118 |     return sqrt_2pi_inv * (-0.5 * x.square()).exp();
      |            ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:140:29:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  140 |     grad = weights * std_pdf(eta) * (
      |                      ~~~~~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:132:1:   required from here
   19 |     GlmBinomialProbit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:140:20:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  140 |     grad = weights * std_pdf(eta) * (
      |            ~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:132:1:   required from here
   19 |     GlmBinomialProbit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:141:16:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  141 |         y * (1 / grad).min(max) - (1-y) * (1 / (1-grad)).min(max)
      |             ~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:132:1:   required from here
   19 |     GlmBinomialProbit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:141:27:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  141 |         y * (1 / grad).min(max) - (1-y) * (1 / (1-grad)).min(max)
      |             ~~~~~~~~~~~~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:132:1:   required from here
   19 |     GlmBinomialProbit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:141:11:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  141 |         y * (1 / grad).min(max) - (1-y) * (1 / (1-grad)).min(max)
      |         ~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:132:1:   required from here
   19 |     GlmBinomialProbit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:141:37:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  141 |         y * (1 / grad).min(max) - (1-y) * (1 / (1-grad)).min(max)
      |                                   ~~^~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:132:1:   required from here
   19 |     GlmBinomialProbit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:141:50:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  141 |         y * (1 / grad).min(max) - (1-y) * (1 / (1-grad)).min(max)
      |                                                ~~^~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:132:1:   required from here
   19 |     GlmBinomialProbit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:141:46:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  141 |         y * (1 / grad).min(max) - (1-y) * (1 / (1-grad)).min(max)
      |                                           ~~~^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:132:1:   required from here
   19 |     GlmBinomialProbit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:141:61:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  141 |         y * (1 / grad).min(max) - (1-y) * (1 / (1-grad)).min(max)
      |                                           ~~~~~~~~~~~~~~~~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:132:1:   required from here
   19 |     GlmBinomialProbit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:141:41:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  141 |         y * (1 / grad).min(max) - (1-y) * (1 / (1-grad)).min(max)
      |                                   ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:132:1:   required from here
   19 |     GlmBinomialProbit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:141:33:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  140 |     grad = weights * std_pdf(eta) * (
      |                                     ~
  141 |         y * (1 / grad).min(max) - (1-y) * (1 / (1-grad)).min(max)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  142 |     );
      |     ~                            
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:132:1:   required from here
   19 |     GlmBinomialProbit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:140:35:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  140 |     grad = weights * std_pdf(eta) * (
      |            ~~~~~~~~~~~~~~~~~~~~~~~^~~
  141 |         y * (1 / grad).min(max) - (1-y) * (1 / (1-grad)).min(max)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  142 |     );
      |     ~                              
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:132:1:   required from here
   19 |     GlmBinomialProbit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:157:29:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  157 |         y * (1 / hess.square()).min(max) + (1-y) * (1 / (1-hess).square()).min(max)
      |                  ~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:147:1:   required from here
   19 |     GlmBinomialProbit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:157:16:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  157 |         y * (1 / hess.square()).min(max) + (1-y) * (1 / (1-hess).square()).min(max)
      |             ~~~^~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:147:1:   required from here
   19 |     GlmBinomialProbit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:157:36:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  157 |         y * (1 / hess.square()).min(max) + (1-y) * (1 / (1-hess).square()).min(max)
      |             ~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:147:1:   required from here
   19 |     GlmBinomialProbit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:157:11:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  157 |         y * (1 / hess.square()).min(max) + (1-y) * (1 / (1-hess).square()).min(max)
      |         ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:147:1:   required from here
   19 |     GlmBinomialProbit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:157:72:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  157 |         y * (1 / hess.square()).min(max) + (1-y) * (1 / (1-hess).square()).min(max)
      |                                                         ~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:147:1:   required from here
   19 |     GlmBinomialProbit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:157:55:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  157 |         y * (1 / hess.square()).min(max) + (1-y) * (1 / (1-hess).square()).min(max)
      |                                                    ~~~^~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:147:1:   required from here
   19 |     GlmBinomialProbit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:157:79:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  157 |         y * (1 / hess.square()).min(max) + (1-y) * (1 / (1-hess).square()).min(max)
      |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:147:1:   required from here
   19 |     GlmBinomialProbit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:157:50:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  157 |         y * (1 / hess.square()).min(max) + (1-y) * (1 / (1-hess).square()).min(max)
      |                                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:147:1:   required from here
   19 |     GlmBinomialProbit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:157:42:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  156 |     hess = weights * (
      |                      ~                    
  157 |         y * (1 / hess.square()).min(max) + (1-y) * (1 / (1-hess).square()).min(max)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  158 |     ) * std_pdf(eta).square() + eta * grad;
      |     ~                                     
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:147:1:   required from here
   19 |     GlmBinomialProbit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:156:20:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  156 |     hess = weights * (
      |            ~~~~~~~~^~~
  157 |         y * (1 / hess.square()).min(max) + (1-y) * (1 / (1-hess).square()).min(max)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  158 |     ) * std_pdf(eta).square() + eta * grad;
      |     ~               
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:147:1:   required from here
   19 |     GlmBinomialProbit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:158:28:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  158 |     ) * std_pdf(eta).square() + eta * grad;
      |         ~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:147:1:   required from here
   19 |     GlmBinomialProbit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:158:7:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  156 |     hess = weights * (
      |            ~~~~~~~~~~~
  157 |         y * (1 / hess.square()).min(max) + (1-y) * (1 / (1-hess).square()).min(max)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  158 |     ) * std_pdf(eta).square() + eta * grad;
      |     ~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:147:1:   required from here
   19 |     GlmBinomialProbit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:158:37:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  158 |     ) * std_pdf(eta).square() + eta * grad;
      |                                 ~~~~^~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:147:1:   required from here
   19 |     GlmBinomialProbit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:158:31:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  156 |     hess = weights * (
      |            ~~~~~~~~~~~         
  157 |         y * (1 / hess.square()).min(max) + (1-y) * (1 / (1-hess).square()).min(max)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  158 |     ) * std_pdf(eta).square() + eta * grad;
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:147:1:   required from here
   19 |     GlmBinomialProbit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:171:22:   required from ‘typename adelie_core::glm::GlmBinomialProbit<ValueType>::base_t::value_t adelie_core::glm::GlmBinomialProbit<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  171 |         y * _buff.log().max(-max) + (1-y) * (1-_buff).log().max(-max)
      |             ~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:163:1:   required from here
   19 |     GlmBinomialProbit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:171:28:   required from ‘typename adelie_core::glm::GlmBinomialProbit<ValueType>::base_t::value_t adelie_core::glm::GlmBinomialProbit<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  171 |         y * _buff.log().max(-max) + (1-y) * (1-_buff).log().max(-max)
      |             ~~~~~~~~~~~~~~~^~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:163:1:   required from here
   19 |     GlmBinomialProbit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:171:11:   required from ‘typename adelie_core::glm::GlmBinomialProbit<ValueType>::base_t::value_t adelie_core::glm::GlmBinomialProbit<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  171 |         y * _buff.log().max(-max) + (1-y) * (1-_buff).log().max(-max)
      |         ~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:163:1:   required from here
   19 |     GlmBinomialProbit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:171:47:   required from ‘typename adelie_core::glm::GlmBinomialProbit<ValueType>::base_t::value_t adelie_core::glm::GlmBinomialProbit<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  171 |         y * _buff.log().max(-max) + (1-y) * (1-_buff).log().max(-max)
      |                                             ~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:163:1:   required from here
   19 |     GlmBinomialProbit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:171:58:   required from ‘typename adelie_core::glm::GlmBinomialProbit<ValueType>::base_t::value_t adelie_core::glm::GlmBinomialProbit<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  171 |         y * _buff.log().max(-max) + (1-y) * (1-_buff).log().max(-max)
      |                                             ~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:163:1:   required from here
   19 |     GlmBinomialProbit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:171:64:   required from ‘typename adelie_core::glm::GlmBinomialProbit<ValueType>::base_t::value_t adelie_core::glm::GlmBinomialProbit<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  171 |         y * _buff.log().max(-max) + (1-y) * (1-_buff).log().max(-max)
      |                                             ~~~~~~~~~~~~~~~~~~~^~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:163:1:   required from here
   19 |     GlmBinomialProbit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:171:43:   required from ‘typename adelie_core::glm::GlmBinomialProbit<ValueType>::base_t::value_t adelie_core::glm::GlmBinomialProbit<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  171 |         y * _buff.log().max(-max) + (1-y) * (1-_buff).log().max(-max)
      |                                     ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:163:1:   required from here
   19 |     GlmBinomialProbit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:171:35:   required from ‘typename adelie_core::glm::GlmBinomialProbit<ValueType>::base_t::value_t adelie_core::glm::GlmBinomialProbit<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  170 |     return -(weights * (
      |                        ~           
  171 |         y * _buff.log().max(-max) + (1-y) * (1-_buff).log().max(-max)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  172 |     )).sum();
      |     ~                              
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:163:1:   required from here
   19 |     GlmBinomialProbit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:170:22:   required from ‘typename adelie_core::glm::GlmBinomialProbit<ValueType>::base_t::value_t adelie_core::glm::GlmBinomialProbit<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  170 |     return -(weights * (
      |             ~~~~~~~~~^~~
  171 |         y * _buff.log().max(-max) + (1-y) * (1-_buff).log().max(-max)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  172 |     )).sum();
      |     ~~                
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:163:1:   required from here
   19 |     GlmBinomialProbit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:53:46:   required from ‘void adelie_core::glm::GlmBinomialLogit<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   53 |     grad = weights * (y - 1 / (1 + (-eta).exp()));
      |                                    ~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:47:1:   required from here
   10 |     GlmBinomialLogit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:53:34:   required from ‘void adelie_core::glm::GlmBinomialLogit<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   53 |     grad = weights * (y - 1 / (1 + (-eta).exp()));
      |                               ~~~^~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:47:1:   required from here
   10 |     GlmBinomialLogit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:53:29:   required from ‘void adelie_core::glm::GlmBinomialLogit<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   53 |     grad = weights * (y - 1 / (1 + (-eta).exp()));
      |                           ~~^~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:47:1:   required from here
   10 |     GlmBinomialLogit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:53:25:   required from ‘void adelie_core::glm::GlmBinomialLogit<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   53 |     grad = weights * (y - 1 / (1 + (-eta).exp()));
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:47:1:   required from here
   10 |     GlmBinomialLogit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:53:20:   required from ‘void adelie_core::glm::GlmBinomialLogit<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   53 |     grad = weights * (y - 1 / (1 + (-eta).exp()));
      |            ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:47:1:   required from here
   10 |     GlmBinomialLogit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:67:28:   required from ‘void adelie_core::glm::GlmBinomialLogit<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   67 |     hess = (hess * (weights-hess)) / (weights + (weights <= 0).template cast<value_t>());
      |                    ~~~~~~~~^~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:58:1:   required from here
   10 |     GlmBinomialLogit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:67:18:   required from ‘void adelie_core::glm::GlmBinomialLogit<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   67 |     hess = (hess * (weights-hess)) / (weights + (weights <= 0).template cast<value_t>());
      |            ~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:58:1:   required from here
   10 |     GlmBinomialLogit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:67:36:   required from ‘void adelie_core::glm::GlmBinomialLogit<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   67 |     hess = (hess * (weights-hess)) / (weights + (weights <= 0).template cast<value_t>());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:58:1:   required from here
   10 |     GlmBinomialLogit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from ‘struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179:   required from ‘struct Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >::CastXpr<double>’
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of ‘template<class NewType> typename Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >::cast() const [with NewType = double]’
   62 | cast() const
      | ^~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:79:42:   required from ‘typename adelie_core::glm::GlmBinomialLogit<ValueType>::base_t::value_t adelie_core::glm::GlmBinomialLogit<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   79 |         ((eta > 0).template cast<value_t>() - y) * eta.min(max).max(-max) +
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:72:1:   required from here
   10 |     GlmBinomialLogit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:79:45:   required from ‘typename adelie_core::glm::GlmBinomialLogit<ValueType>::base_t::value_t adelie_core::glm::GlmBinomialLogit<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   79 |         ((eta > 0).template cast<value_t>() - y) * eta.min(max).max(-max) +
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:72:1:   required from here
   10 |     GlmBinomialLogit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:79:59:   required from ‘typename adelie_core::glm::GlmBinomialLogit<ValueType>::base_t::value_t adelie_core::glm::GlmBinomialLogit<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   79 |         ((eta > 0).template cast<value_t>() - y) * eta.min(max).max(-max) +
      |                                                    ~~~~~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:72:1:   required from here
   10 |     GlmBinomialLogit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:79:68:   required from ‘typename adelie_core::glm::GlmBinomialLogit<ValueType>::base_t::value_t adelie_core::glm::GlmBinomialLogit<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   79 |         ((eta > 0).template cast<value_t>() - y) * eta.min(max).max(-max) +
      |                                                    ~~~~~~~~~~~~~~~~^~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:72:1:   required from here
   10 |     GlmBinomialLogit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:79:50:   required from ‘typename adelie_core::glm::GlmBinomialLogit<ValueType>::base_t::value_t adelie_core::glm::GlmBinomialLogit<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   79 |         ((eta > 0).template cast<value_t>() - y) * eta.min(max).max(-max) +
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:72:1:   required from here
   10 |     GlmBinomialLogit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:80:23:   required from ‘typename adelie_core::glm::GlmBinomialLogit<ValueType>::base_t::value_t adelie_core::glm::GlmBinomialLogit<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   80 |         (1 + (-eta.abs()).exp()).log()
      |                ~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:72:1:   required from here
   10 |     GlmBinomialLogit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:80:15:   required from ‘typename adelie_core::glm::GlmBinomialLogit<ValueType>::base_t::value_t adelie_core::glm::GlmBinomialLogit<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   80 |         (1 + (-eta.abs()).exp()).log()
      |              ~^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:72:1:   required from here
   10 |     GlmBinomialLogit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:80:30:   required from ‘typename adelie_core::glm::GlmBinomialLogit<ValueType>::base_t::value_t adelie_core::glm::GlmBinomialLogit<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   80 |         (1 + (-eta.abs()).exp()).log()
      |              ~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:72:1:   required from here
   10 |     GlmBinomialLogit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:80:12:   required from ‘typename adelie_core::glm::GlmBinomialLogit<ValueType>::base_t::value_t adelie_core::glm::GlmBinomialLogit<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   80 |         (1 + (-eta.abs()).exp()).log()
      |         ~~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:72:1:   required from here
   10 |     GlmBinomialLogit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:80:37:   required from ‘typename adelie_core::glm::GlmBinomialLogit<ValueType>::base_t::value_t adelie_core::glm::GlmBinomialLogit<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   80 |         (1 + (-eta.abs()).exp()).log()
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:72:1:   required from here
   10 |     GlmBinomialLogit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:79:75:   required from ‘typename adelie_core::glm::GlmBinomialLogit<ValueType>::base_t::value_t adelie_core::glm::GlmBinomialLogit<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   78 |     return (weights * (
      |                       ~                                                    
   79 |         ((eta > 0).template cast<value_t>() - y) * eta.min(max).max(-max) +
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   80 |         (1 + (-eta.abs()).exp()).log()
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                     
   81 |     )).sum();
      |     ~                                                                      
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:72:1:   required from here
   10 |     GlmBinomialLogit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:78:21:   required from ‘typename adelie_core::glm::GlmBinomialLogit<ValueType>::base_t::value_t adelie_core::glm::GlmBinomialLogit<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   78 |     return (weights * (
      |            ~~~~~~~~~^~~
   79 |         ((eta > 0).template cast<value_t>() - y) * eta.min(max).max(-max) +
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   80 |         (1 + (-eta.abs()).exp()).log()
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   81 |     )).sum();
      |     ~~               
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:72:1:   required from here
   10 |     GlmBinomialLogit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from ‘class Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 1, -1>’
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:584:35:   required from ‘ExpressionType& Eigen::VectorwiseOp<ExpressionType, Direction>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >; ExpressionType = Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; int Direction = 0]’
  584 |       return m_matrix = extendedTo(other.derived());
      |                         ~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.ipp:35:20:   required from ‘void adelie_core::glm::GlmMultiGaussian<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   35 |     hess.colwise() = weights.matrix().transpose().array() / hess.cols();
      |     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.ipp:28:1:   required from here
   10 |     GlmMultiGaussian<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:363:17:   required from ‘void adelie_core::glm::GlmCoxPack<ValueType, IndexType>::gradient(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  363 |     z = weights * eta.exp();
      |         ~~~~~~~~^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:665:22:   required from ‘void adelie_core::glm::GlmCox<ValueType, IndexType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  665 |         pack.gradient(
      |         ~~~~~~~~~~~~~^
  666 |             eta_sto.segment(bi, si),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  667 |             grad_sto.segment(bi, si)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  668 |         );
      |         ~             
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:649:1:   required from here
   19 |     GlmCox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:388:44:   required from ‘void adelie_core::glm::GlmCoxPack<ValueType, IndexType>::gradient(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  388 |     risk_total_to = risk_sum_to - scale_to * ties_risk_sum_to;
      |                                   ~~~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:665:22:   required from ‘void adelie_core::glm::GlmCox<ValueType, IndexType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  665 |         pack.gradient(
      |         ~~~~~~~~~~~~~^
  666 |             eta_sto.segment(bi, si),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  667 |             grad_sto.segment(bi, si)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  668 |         );
      |         ~             
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:649:1:   required from here
   19 |     GlmCox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:388:33:   required from ‘void adelie_core::glm::GlmCoxPack<ValueType, IndexType>::gradient(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  388 |     risk_total_to = risk_sum_to - scale_to * ties_risk_sum_to;
      |                     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:665:22:   required from ‘void adelie_core::glm::GlmCox<ValueType, IndexType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  665 |         pack.gradient(
      |         ~~~~~~~~~~~~~^
  666 |             eta_sto.segment(bi, si),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  667 |             grad_sto.segment(bi, si)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  668 |         );
      |         ~             
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:649:1:   required from here
   19 |     GlmCox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:392:23:   required from ‘void adelie_core::glm::GlmCoxPack<ValueType, IndexType>::gradient(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  392 |     _v_to = status_to * weights_mean_to / (
      |             ~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:665:22:   required from ‘void adelie_core::glm::GlmCox<ValueType, IndexType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  665 |         pack.gradient(
      |         ~~~~~~~~~~~~~^
  666 |             eta_sto.segment(bi, si),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  667 |             grad_sto.segment(bi, si)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  668 |         );
      |         ~             
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:649:1:   required from here
   19 |     GlmCox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from ‘struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179:   required from ‘struct Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >::CastXpr<double>’
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of ‘template<class NewType> typename Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >::cast() const [with NewType = double]’
   62 | cast() const
      | ^~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:393:92:   required from ‘void adelie_core::glm::GlmCoxPack<ValueType, IndexType>::gradient(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  393 |         risk_total_to + ((status_to == 0) || (weights_mean_to == 0)).template cast<value_t>()
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:665:22:   required from ‘void adelie_core::glm::GlmCox<ValueType, IndexType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  665 |         pack.gradient(
      |         ~~~~~~~~~~~~~^
  666 |             eta_sto.segment(bi, si),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  667 |             grad_sto.segment(bi, si)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  668 |         );
      |         ~             
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:649:1:   required from here
   19 |     GlmCox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:393:23:   required from ‘void adelie_core::glm::GlmCoxPack<ValueType, IndexType>::gradient(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  392 |     _v_to = status_to * weights_mean_to / (
      |                                           ~
  393 |         risk_total_to + ((status_to == 0) || (weights_mean_to == 0)).template cast<value_t>()
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  394 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:665:22:   required from ‘void adelie_core::glm::GlmCox<ValueType, IndexType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  665 |         pack.gradient(
      |         ~~~~~~~~~~~~~^
  666 |             eta_sto.segment(bi, si),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  667 |             grad_sto.segment(bi, si)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  668 |         );
      |         ~             
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:649:1:   required from here
   19 |     GlmCox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:392:41:   required from ‘void adelie_core::glm::GlmCoxPack<ValueType, IndexType>::gradient(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  392 |     _v_to = status_to * weights_mean_to / (
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
  393 |         risk_total_to + ((status_to == 0) || (weights_mean_to == 0)).template cast<value_t>()
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  394 |     );
      |     ~                                    
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:665:22:   required from ‘void adelie_core::glm::GlmCox<ValueType, IndexType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  665 |         pack.gradient(
      |         ~~~~~~~~~~~~~^
  666 |             eta_sto.segment(bi, si),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  667 |             grad_sto.segment(bi, si)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  668 |         );
      |         ~             
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:649:1:   required from here
   19 |     GlmCox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:406:36:   required from ‘void adelie_core::glm::GlmCoxPack<ValueType, IndexType>::gradient(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  406 |     grad = weights * status - grad * z;
      |                               ~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:665:22:   required from ‘void adelie_core::glm::GlmCox<ValueType, IndexType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  665 |         pack.gradient(
      |         ~~~~~~~~~~~~~^
  666 |             eta_sto.segment(bi, si),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  667 |             grad_sto.segment(bi, si)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  668 |         );
      |         ~             
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:649:1:   required from here
   19 |     GlmCox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:406:29:   required from ‘void adelie_core::glm::GlmCoxPack<ValueType, IndexType>::gradient(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  406 |     grad = weights * status - grad * z;
      |            ~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:665:22:   required from ‘void adelie_core::glm::GlmCox<ValueType, IndexType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  665 |         pack.gradient(
      |         ~~~~~~~~~~~~~^
  666 |             eta_sto.segment(bi, si),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  667 |             grad_sto.segment(bi, si)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  668 |         );
      |         ~             
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:649:1:   required from here
   19 |     GlmCox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:449:29:   required from ‘void adelie_core::glm::GlmCoxPack<ValueType, IndexType>::hessian(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  449 |         risk_total_to.square() + ((status_to == 0) || (weights_mean_to == 0)).template cast<value_t>()
      |         ~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:696:21:   required from ‘void adelie_core::glm::GlmCox<ValueType, IndexType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  696 |         pack.hessian(
      |         ~~~~~~~~~~~~^
  697 |             eta_sto.segment(bi, si),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  698 |             grad_sto.segment(bi, si),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
  699 |             hess_sto.segment(bi, si)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  700 |         );
      |         ~            
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:676:1:   required from here
   19 |     GlmCox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:449:32:   required from ‘void adelie_core::glm::GlmCoxPack<ValueType, IndexType>::hessian(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  448 |     _v_to = status_to * weights_mean_to / (
      |                                           ~
  449 |         risk_total_to.square() + ((status_to == 0) || (weights_mean_to == 0)).template cast<value_t>()
      |         ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  450 |     );
      |     ~                           
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:696:21:   required from ‘void adelie_core::glm::GlmCox<ValueType, IndexType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  696 |         pack.hessian(
      |         ~~~~~~~~~~~~^
  697 |             eta_sto.segment(bi, si),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  698 |             grad_sto.segment(bi, si),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
  699 |             hess_sto.segment(bi, si)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  700 |         );
      |         ~            
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:676:1:   required from here
   19 |     GlmCox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:448:41:   required from ‘void adelie_core::glm::GlmCoxPack<ValueType, IndexType>::hessian(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  448 |     _v_to = status_to * weights_mean_to / (
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
  449 |         risk_total_to.square() + ((status_to == 0) || (weights_mean_to == 0)).template cast<value_t>()
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  450 |     );
      |     ~                                    
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:696:21:   required from ‘void adelie_core::glm::GlmCox<ValueType, IndexType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  696 |         pack.hessian(
      |         ~~~~~~~~~~~~^
  697 |             eta_sto.segment(bi, si),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  698 |             grad_sto.segment(bi, si),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
  699 |             hess_sto.segment(bi, si)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  700 |         );
      |         ~            
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:676:1:   required from here
   19 |     GlmCox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:456:23:   required from ‘void adelie_core::glm::GlmCoxPack<ValueType, IndexType>::hessian(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  456 |     _v_to *= scale_to * (2 - scale_to);
      |              ~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:696:21:   required from ‘void adelie_core::glm::GlmCox<ValueType, IndexType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  696 |         pack.hessian(
      |         ~~~~~~~~~~~~^
  697 |             eta_sto.segment(bi, si),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  698 |             grad_sto.segment(bi, si),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
  699 |             hess_sto.segment(bi, si)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  700 |         );
      |         ~            
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:676:1:   required from here
   19 |     GlmCox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:462:43:   required from ‘void adelie_core::glm::GlmCoxPack<ValueType, IndexType>::hessian(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  462 |     hess = weights * status - grad - hess * z.square();
      |                                      ~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:696:21:   required from ‘void adelie_core::glm::GlmCox<ValueType, IndexType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  696 |         pack.hessian(
      |         ~~~~~~~~~~~~^
  697 |             eta_sto.segment(bi, si),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  698 |             grad_sto.segment(bi, si),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
  699 |             hess_sto.segment(bi, si)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  700 |         );
      |         ~            
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:676:1:   required from here
   19 |     GlmCox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:462:36:   required from ‘void adelie_core::glm::GlmCoxPack<ValueType, IndexType>::hessian(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  462 |     hess = weights * status - grad - hess * z.square();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:696:21:   required from ‘void adelie_core::glm::GlmCox<ValueType, IndexType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  696 |         pack.hessian(
      |         ~~~~~~~~~~~~^
  697 |             eta_sto.segment(bi, si),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  698 |             grad_sto.segment(bi, si),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
  699 |             hess_sto.segment(bi, si)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  700 |         );
      |         ~            
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:676:1:   required from here
   19 |     GlmCox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:475:23:   required from ‘adelie_core::glm::GlmCoxPack<ValueType, IndexType>::value_t adelie_core::glm::GlmCoxPack<ValueType, IndexType>::loss(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&) [with ValueType = double; IndexType = int; value_t = double; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  475 |     z = weights * (eta-eta_max).exp();
      |                   ~~~~^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:723:25:   required from ‘typename adelie_core::glm::GlmCox<ValueType, IndexType>::base_t::value_t adelie_core::glm::GlmCox<ValueType, IndexType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  723 |         sum += pack.loss(
      |                ~~~~~~~~~^
  724 |             eta_sto.segment(bi, si)
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  725 |         );
      |         ~                
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:708:1:   required from here
   19 |     GlmCox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:475:36:   required from ‘adelie_core::glm::GlmCoxPack<ValueType, IndexType>::value_t adelie_core::glm::GlmCoxPack<ValueType, IndexType>::loss(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&) [with ValueType = double; IndexType = int; value_t = double; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  475 |     z = weights * (eta-eta_max).exp();
      |                   ~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:723:25:   required from ‘typename adelie_core::glm::GlmCox<ValueType, IndexType>::base_t::value_t adelie_core::glm::GlmCox<ValueType, IndexType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  723 |         sum += pack.loss(
      |                ~~~~~~~~~^
  724 |             eta_sto.segment(bi, si)
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  725 |         );
      |         ~                
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:708:1:   required from here
   19 |     GlmCox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:475:17:   required from ‘adelie_core::glm::GlmCoxPack<ValueType, IndexType>::value_t adelie_core::glm::GlmCoxPack<ValueType, IndexType>::loss(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&) [with ValueType = double; IndexType = int; value_t = double; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  475 |     z = weights * (eta-eta_max).exp();
      |         ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:723:25:   required from ‘typename adelie_core::glm::GlmCox<ValueType, IndexType>::base_t::value_t adelie_core::glm::GlmCox<ValueType, IndexType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  723 |         sum += pack.loss(
      |                ~~~~~~~~~^
  724 |             eta_sto.segment(bi, si)
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  725 |         );
      |         ~                
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:708:1:   required from here
   19 |     GlmCox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:498:29:   required from ‘adelie_core::glm::GlmCoxPack<ValueType, IndexType>::value_t adelie_core::glm::GlmCoxPack<ValueType, IndexType>::loss(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&) [with ValueType = double; IndexType = int; value_t = double; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  498 |         - (status * weights * (eta-eta_max)).sum()
      |           ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:723:25:   required from ‘typename adelie_core::glm::GlmCox<ValueType, IndexType>::base_t::value_t adelie_core::glm::GlmCox<ValueType, IndexType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  723 |         sum += pack.loss(
      |                ~~~~~~~~~^
  724 |             eta_sto.segment(bi, si)
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  725 |         );
      |         ~                
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:708:1:   required from here
   19 |     GlmCox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:500:60:   required from ‘adelie_core::glm::GlmCoxPack<ValueType, IndexType>::value_t adelie_core::glm::GlmCoxPack<ValueType, IndexType>::loss(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&) [with ValueType = double; IndexType = int; value_t = double; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  500 |             (risk_sum_to - scale_to * ties_risk_sum_to).max(0).log().max(neg_max)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:723:25:   required from ‘typename adelie_core::glm::GlmCox<ValueType, IndexType>::base_t::value_t adelie_core::glm::GlmCox<ValueType, IndexType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  723 |         sum += pack.loss(
      |                ~~~~~~~~~^
  724 |             eta_sto.segment(bi, si)
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  725 |         );
      |         ~                
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:708:1:   required from here
   19 |     GlmCox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:500:67:   required from ‘adelie_core::glm::GlmCoxPack<ValueType, IndexType>::value_t adelie_core::glm::GlmCoxPack<ValueType, IndexType>::loss(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&) [with ValueType = double; IndexType = int; value_t = double; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  500 |             (risk_sum_to - scale_to * ties_risk_sum_to).max(0).log().max(neg_max)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:723:25:   required from ‘typename adelie_core::glm::GlmCox<ValueType, IndexType>::base_t::value_t adelie_core::glm::GlmCox<ValueType, IndexType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  723 |         sum += pack.loss(
      |                ~~~~~~~~~^
  724 |             eta_sto.segment(bi, si)
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  725 |         );
      |         ~                
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:708:1:   required from here
   19 |     GlmCox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:500:73:   required from ‘adelie_core::glm::GlmCoxPack<ValueType, IndexType>::value_t adelie_core::glm::GlmCoxPack<ValueType, IndexType>::loss(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&) [with ValueType = double; IndexType = int; value_t = double; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  500 |             (risk_sum_to - scale_to * ties_risk_sum_to).max(0).log().max(neg_max)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:723:25:   required from ‘typename adelie_core::glm::GlmCox<ValueType, IndexType>::base_t::value_t adelie_core::glm::GlmCox<ValueType, IndexType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  723 |         sum += pack.loss(
      |                ~~~~~~~~~^
  724 |             eta_sto.segment(bi, si)
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  725 |         );
      |         ~                
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:708:1:   required from here
   19 |     GlmCox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:499:40:   required from ‘adelie_core::glm::GlmCoxPack<ValueType, IndexType>::value_t adelie_core::glm::GlmCoxPack<ValueType, IndexType>::loss(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&) [with ValueType = double; IndexType = int; value_t = double; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  499 |         + (status_to * weights_mean_to *
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  500 |             (risk_sum_to - scale_to * ties_risk_sum_to).max(0).log().max(neg_max)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  501 |         ).sum()
      |         ~                               
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:723:25:   required from ‘typename adelie_core::glm::GlmCox<ValueType, IndexType>::base_t::value_t adelie_core::glm::GlmCox<ValueType, IndexType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  723 |         sum += pack.loss(
      |                ~~~~~~~~~^
  724 |             eta_sto.segment(bi, si)
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  725 |         );
      |         ~                
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:708:1:   required from here
   19 |     GlmCox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:512:44:   required from ‘adelie_core::glm::GlmCoxPack<ValueType, IndexType>::value_t adelie_core::glm::GlmCoxPack<ValueType, IndexType>::loss_full() [with ValueType = double; IndexType = int; value_t = double]’
  512 |         (weights_size_to * weights_mean_to * (1 - scale_to)).log().max(most_neg)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:737:30:   required from ‘typename adelie_core::glm::GlmCox<ValueType, IndexType>::base_t::value_t adelie_core::glm::GlmCox<ValueType, IndexType>::loss_full() [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>]’
  737 |         sum += pack.loss_full();
      |                ~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:732:1:   required from here
   19 |     GlmCox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:512:65:   required from ‘adelie_core::glm::GlmCoxPack<ValueType, IndexType>::value_t adelie_core::glm::GlmCoxPack<ValueType, IndexType>::loss_full() [with ValueType = double; IndexType = int; value_t = double]’
  512 |         (weights_size_to * weights_mean_to * (1 - scale_to)).log().max(most_neg)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:737:30:   required from ‘typename adelie_core::glm::GlmCox<ValueType, IndexType>::base_t::value_t adelie_core::glm::GlmCox<ValueType, IndexType>::loss_full() [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>]’
  737 |         sum += pack.loss_full();
      |                ~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:732:1:   required from here
   19 |     GlmCox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:512:71:   required from ‘adelie_core::glm::GlmCoxPack<ValueType, IndexType>::value_t adelie_core::glm::GlmCoxPack<ValueType, IndexType>::loss_full() [with ValueType = double; IndexType = int; value_t = double]’
  512 |         (weights_size_to * weights_mean_to * (1 - scale_to)).log().max(most_neg)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:737:30:   required from ‘typename adelie_core::glm::GlmCox<ValueType, IndexType>::base_t::value_t adelie_core::glm::GlmCox<ValueType, IndexType>::loss_full() [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>]’
  737 |         sum += pack.loss_full();
      |                ~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:732:1:   required from here
   19 |     GlmCox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:511:37:   required from ‘adelie_core::glm::GlmCoxPack<ValueType, IndexType>::value_t adelie_core::glm::GlmCoxPack<ValueType, IndexType>::loss_full() [with ValueType = double; IndexType = int; value_t = double]’
  510 |     return (
      |            ~                         
  511 |         weights_mean_to * status_to *
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  512 |         (weights_size_to * weights_mean_to * (1 - scale_to)).log().max(most_neg)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  513 |     ).sum();
      |     ~                                
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:737:30:   required from ‘typename adelie_core::glm::GlmCox<ValueType, IndexType>::base_t::value_t adelie_core::glm::GlmCox<ValueType, IndexType>::loss_full() [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>]’
  737 |         sum += pack.loss_full();
      |                ~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:732:1:   required from here
   19 |     GlmCox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:133:20:   required from ‘void adelie_core::glm::cox::_at_risk_sum(const ASType&, const ATType&, const SType&, const TType&, const UType&, OutType&, Out1Type&, Out2Type&) [with ASType = adelie_core::glm::GlmCoxPack<double, int>::gradient(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >)::<lambda(auto:3)>; ATType = adelie_core::glm::GlmCoxPack<double, int>::gradient(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >)::<lambda(auto:4)>; SType = Eigen::Array<double, 1, -1, 1, 1, -1>; TType = Eigen::Array<double, 1, -1, 1, 1, -1>; UType = Eigen::Array<double, 1, -1, 1, 1, -1>; OutType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Out1Type = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Out2Type = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  133 |     out = out1.head(m) - out2.head(m);
      |           ~~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:369:22:   required from ‘void adelie_core::glm::GlmCoxPack<ValueType, IndexType>::gradient(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  369 |     cox::_at_risk_sum(
      |     ~~~~~~~~~~~~~~~~~^
  370 |         [&](auto i) { return z[start_order[i]]; },
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  371 |         [&](auto i) { return z[stop_order[i]]; },
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  372 |         start_so,
      |         ~~~~~~~~~     
  373 |         stop_to,
      |         ~~~~~~~~      
  374 |         stop_to,
      |         ~~~~~~~~      
  375 |         risk_sum_to,
      |         ~~~~~~~~~~~~  
  376 |         risk_sum1_to,
      |         ~~~~~~~~~~~~~ 
  377 |         risk_sum2_to
      |         ~~~~~~~~~~~~  
  378 |     );
      |     ~                 
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:665:22:   required from ‘void adelie_core::glm::GlmCox<ValueType, IndexType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  665 |         pack.gradient(
      |         ~~~~~~~~~~~~~^
  666 |             eta_sto.segment(bi, si),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  667 |             grad_sto.segment(bi, si)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  668 |         );
      |         ~             
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:649:1:   required from here
   19 |     GlmCox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:133:24:   required from ‘void adelie_core::glm::cox::_at_risk_sum(const ASType&, const ATType&, const SType&, const TType&, const UType&, OutType&, Out1Type&, Out2Type&) [with ASType = adelie_core::glm::GlmCoxPack<double, int>::gradient(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >)::<lambda(auto:3)>; ATType = adelie_core::glm::GlmCoxPack<double, int>::gradient(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >)::<lambda(auto:4)>; SType = Eigen::Array<double, 1, -1, 1, 1, -1>; TType = Eigen::Array<double, 1, -1, 1, 1, -1>; UType = Eigen::Array<double, 1, -1, 1, 1, -1>; OutType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Out1Type = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Out2Type = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  133 |     out = out1.head(m) - out2.head(m);
      |           ~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:369:22:   required from ‘void adelie_core::glm::GlmCoxPack<ValueType, IndexType>::gradient(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  369 |     cox::_at_risk_sum(
      |     ~~~~~~~~~~~~~~~~~^
  370 |         [&](auto i) { return z[start_order[i]]; },
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  371 |         [&](auto i) { return z[stop_order[i]]; },
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  372 |         start_so,
      |         ~~~~~~~~~     
  373 |         stop_to,
      |         ~~~~~~~~      
  374 |         stop_to,
      |         ~~~~~~~~      
  375 |         risk_sum_to,
      |         ~~~~~~~~~~~~  
  376 |         risk_sum1_to,
      |         ~~~~~~~~~~~~~ 
  377 |         risk_sum2_to
      |         ~~~~~~~~~~~~  
  378 |     );
      |     ~                 
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:665:22:   required from ‘void adelie_core::glm::GlmCox<ValueType, IndexType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  665 |         pack.gradient(
      |         ~~~~~~~~~~~~~^
  666 |             eta_sto.segment(bi, si),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  667 |             grad_sto.segment(bi, si)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  668 |         );
      |         ~             
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:649:1:   required from here
   19 |     GlmCox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, member_maxCoeff<double, double>, 1>; Func = assign_op<double, double>]’
  883 |   ActualDstType actualDst(dst);
      |                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, member_maxCoeff<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, member_maxCoeff<double, double>, 1>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::internal::member_maxCoeff<double, double>, 1>; Derived = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:31:13:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   31 |     eta_max = eta.rowwise().maxCoeff();
      |     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:24:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >; Src = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Func = assign_op<double, double>]’
  883 |   ActualDstType actualDst(dst);
      |                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >; Src = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >; Src = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_glm.h:42:14:   required from ‘void adelie_core::glm::GlmS4<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   42 |         grad = Rcpp::as<Eigen::Map<colvec_value_t>>(
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             ADELIE_CORE_S4_PURE_OVERRIDE(gradient, _glm, eta_r)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   44 |         );
      |         ~     
rcpp_glm.h:36:10:   required from here
   36 |     void gradient(
      |          ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.ipp:46:93:   required from ‘typename adelie_core::glm::GlmPoisson<ValueType>::base_t::value_t adelie_core::glm::GlmPoisson<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   46 |     return (weights * ((-eta).min(std::numeric_limits<value_t>::max()) * y + eta.exp())).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.ipp:40:1:   required from here
   10 |     GlmPoisson<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.ipp:53:89:   required from ‘typename adelie_core::glm::GlmPoisson<ValueType>::base_t::value_t adelie_core::glm::GlmPoisson<ValueType>::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>]’
   53 |     return (weights * ((-y.log()).min(std::numeric_limits<value_t>::max()) * y + y)).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.ipp:51:1:   required from here
   10 |     GlmPoisson<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.ipp:45:58:   required from ‘typename adelie_core::glm::GlmGaussian<ValueType>::base_t::value_t adelie_core::glm::GlmGaussian<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   45 |     return (weights * (0.5 * eta.square() - y * eta)).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.ipp:40:1:   required from here
   10 |     GlmGaussian<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.ipp:52:45:   required from ‘typename adelie_core::glm::GlmGaussian<ValueType>::base_t::value_t adelie_core::glm::GlmGaussian<ValueType>::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>]’
   52 |     return -0.5 * (y.square() * weights).sum();
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.ipp:50:1:   required from here
   10 |     GlmGaussian<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:172:11:   required from ‘typename adelie_core::glm::GlmBinomialProbit<ValueType>::base_t::value_t adelie_core::glm::GlmBinomialProbit<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  170 |     return -(weights * (
      |             ~~~~~~~~~~~~
  171 |         y * _buff.log().max(-max) + (1-y) * (1-_buff).log().max(-max)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  172 |     )).sum();
      |     ~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.ipp:163:1:   required from here
   19 |     GlmBinomialProbit<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:498:49:   required from ‘adelie_core::glm::GlmCoxPack<ValueType, IndexType>::value_t adelie_core::glm::GlmCoxPack<ValueType, IndexType>::loss(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&) [with ValueType = double; IndexType = int; value_t = double; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  498 |         - (status * weights * (eta-eta_max)).sum()
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:723:25:   required from ‘typename adelie_core::glm::GlmCox<ValueType, IndexType>::base_t::value_t adelie_core::glm::GlmCox<ValueType, IndexType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  723 |         sum += pack.loss(
      |                ~~~~~~~~~^
  724 |             eta_sto.segment(bi, si)
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  725 |         );
      |         ~                
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:708:1:   required from here
   19 |     GlmCox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:501:14:   required from ‘adelie_core::glm::GlmCoxPack<ValueType, IndexType>::value_t adelie_core::glm::GlmCoxPack<ValueType, IndexType>::loss(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&) [with ValueType = double; IndexType = int; value_t = double; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  499 |         + (status_to * weights_mean_to *
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  500 |             (risk_sum_to - scale_to * ties_risk_sum_to).max(0).log().max(neg_max)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  501 |         ).sum()
      |         ~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:723:25:   required from ‘typename adelie_core::glm::GlmCox<ValueType, IndexType>::base_t::value_t adelie_core::glm::GlmCox<ValueType, IndexType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  723 |         sum += pack.loss(
      |                ~~~~~~~~~^
  724 |             eta_sto.segment(bi, si)
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  725 |         );
      |         ~                
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:708:1:   required from here
   19 |     GlmCox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:513:10:   required from ‘adelie_core::glm::GlmCoxPack<ValueType, IndexType>::value_t adelie_core::glm::GlmCoxPack<ValueType, IndexType>::loss_full() [with ValueType = double; IndexType = int; value_t = double]’
  510 |     return (
      |            ~
  511 |         weights_mean_to * status_to *
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  512 |         (weights_size_to * weights_mean_to * (1 - scale_to)).log().max(most_neg)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  513 |     ).sum();
      |     ~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:737:30:   required from ‘typename adelie_core::glm::GlmCox<ValueType, IndexType>::base_t::value_t adelie_core::glm::GlmCox<ValueType, IndexType>::loss_full() [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>]’
  737 |         sum += pack.loss_full();
      |                ~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:732:1:   required from here
   19 |     GlmCox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:473:38:   required from ‘adelie_core::glm::GlmCoxPack<ValueType, IndexType>::value_t adelie_core::glm::GlmCoxPack<ValueType, IndexType>::loss(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&) [with ValueType = double; IndexType = int; value_t = double; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  473 |     const auto eta_max = eta.maxCoeff();
      |                          ~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:723:25:   required from ‘typename adelie_core::glm::GlmCox<ValueType, IndexType>::base_t::value_t adelie_core::glm::GlmCox<ValueType, IndexType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  723 |         sum += pack.loss(
      |                ~~~~~~~~~^
  724 |             eta_sto.segment(bi, si)
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  725 |         );
      |         ~                
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:708:1:   required from here
   19 |     GlmCox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, 1, -1, true> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, 1, -1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, 1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, 1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:23:   required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1> >; CoeffReturnType = double; Eigen::Index = long int]’
  381 |   { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); }
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:202:33:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1> > >; Scalar = double]’
  202 |     res = eval.coeffByOuterInner(0, 0);
      |           ~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.ipp:48:10:   required from ‘typename adelie_core::glm::GlmMultiGaussian<ValueType>::base_t::value_t adelie_core::glm::GlmMultiGaussian<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   45 |     return (
      |            ~
   46 |         weights.matrix().transpose().array() *
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   47 |         (0.5 * eta.square() - y * eta).rowwise().sum()
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   48 |     ).sum() / y.cols();
      |     ~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.ipp:40:1:   required from here
   10 |     GlmMultiGaussian<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Derived = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:133:9:   required from ‘void adelie_core::glm::cox::_at_risk_sum(const ASType&, const ATType&, const SType&, const TType&, const UType&, OutType&, Out1Type&, Out2Type&) [with ASType = adelie_core::glm::GlmCoxPack<double, int>::gradient(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >)::<lambda(auto:3)>; ATType = adelie_core::glm::GlmCoxPack<double, int>::gradient(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >)::<lambda(auto:4)>; SType = Eigen::Array<double, 1, -1, 1, 1, -1>; TType = Eigen::Array<double, 1, -1, 1, 1, -1>; UType = Eigen::Array<double, 1, -1, 1, 1, -1>; OutType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Out1Type = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Out2Type = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  133 |     out = out1.head(m) - out2.head(m);
      |     ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:369:22:   required from ‘void adelie_core::glm::GlmCoxPack<ValueType, IndexType>::gradient(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  369 |     cox::_at_risk_sum(
      |     ~~~~~~~~~~~~~~~~~^
  370 |         [&](auto i) { return z[start_order[i]]; },
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  371 |         [&](auto i) { return z[stop_order[i]]; },
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  372 |         start_so,
      |         ~~~~~~~~~     
  373 |         stop_to,
      |         ~~~~~~~~      
  374 |         stop_to,
      |         ~~~~~~~~      
  375 |         risk_sum_to,
      |         ~~~~~~~~~~~~  
  376 |         risk_sum1_to,
      |         ~~~~~~~~~~~~~ 
  377 |         risk_sum2_to
      |         ~~~~~~~~~~~~  
  378 |     );
      |     ~                 
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:665:22:   required from ‘void adelie_core::glm::GlmCox<ValueType, IndexType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  665 |         pack.gradient(
      |         ~~~~~~~~~~~~~^
  666 |             eta_sto.segment(bi, si),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  667 |             grad_sto.segment(bi, si)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  668 |         );
      |         ~             
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.ipp:649:1:   required from here
   19 |     GlmCox<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, member_maxCoeff<double, double>, 1>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, member_maxCoeff<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, member_maxCoeff<double, double>, 1>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::internal::member_maxCoeff<double, double>, 1>; Derived = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:31:13:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   31 |     eta_max = eta.rowwise().maxCoeff();
      |     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:24:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, member_sum<double, double>, 1>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, member_sum<double, double>, 1>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:34:13:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   34 |     sum_exp = grad.rowwise().sum();
      |     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:24:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:23:   required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; CoeffReturnType = double; Eigen::Index = long int]’
  381 |   { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); }
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:202:33:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > > >; Scalar = double]’
  202 |     res = eval.coeffByOuterInner(0, 0);
      |           ~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:79:10:   required from ‘typename adelie_core::glm::GlmMultinomial<ValueType>::base_t::value_t adelie_core::glm::GlmMultinomial<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   74 |     return (
      |            ~
   75 |         weights.matrix().transpose().array() * (
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   76 |             - (y * eta_shift).rowwise().sum()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   77 |             + eta_shift.exp().rowwise().sum().log()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   78 |         )
      |         ~ 
   79 |     ).sum() / y.cols();
      |     ~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:65:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69:   required from ‘Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::CoeffReturnType Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::coeff(Eigen::Index, Eigen::Index) const [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; Lhs = const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >; Rhs = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > >; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs = Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > >; CoeffReturnType = double; Eigen::Index = long int]’
  769 |     return m_d.func()(m_d.lhsImpl.coeff(row, col), m_d.rhsImpl.coeff(row, col));
      |                                                    ~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:23:   required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; CoeffReturnType = double; Eigen::Index = long int]’
  381 |   { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); }
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:202:33:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > > >; Scalar = double]’
  202 |     res = eval.coeffByOuterInner(0, 0);
      |           ~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:79:10:   required from ‘typename adelie_core::glm::GlmMultinomial<ValueType>::base_t::value_t adelie_core::glm::GlmMultinomial<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   74 |     return (
      |            ~
   75 |         weights.matrix().transpose().array() * (
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   76 |             - (y * eta_shift).rowwise().sum()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   77 |             + eta_shift.exp().rowwise().sum().log()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   78 |         )
      |         ~ 
   79 |     ).sum() / y.cols();
      |     ~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:65:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, 1, -1, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, 1, -1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:23:   required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1> >; CoeffReturnType = double; Eigen::Index = long int]’
  381 |   { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); }
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:202:33:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1> > >; Scalar = double]’
  202 |     res = eval.coeffByOuterInner(0, 0);
      |           ~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.ipp:48:10:   required from ‘typename adelie_core::glm::GlmMultiGaussian<ValueType>::base_t::value_t adelie_core::glm::GlmMultiGaussian<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   45 |     return (
      |            ~
   46 |         weights.matrix().transpose().array() *
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   47 |         (0.5 * eta.square() - y * eta).rowwise().sum()
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   48 |     ).sum() / y.cols();
      |     ~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.ipp:40:1:   required from here
   10 |     GlmMultiGaussian<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, member_sum<double, double>, 1>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, member_sum<double, double>, 1>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:34:13:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   34 |     sum_exp = grad.rowwise().sum();
      |     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:24:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:23:   required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; CoeffReturnType = double; Eigen::Index = long int]’
  381 |   { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); }
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:202:33:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > > >; Scalar = double]’
  202 |     res = eval.coeffByOuterInner(0, 0);
      |           ~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:79:10:   required from ‘typename adelie_core::glm::GlmMultinomial<ValueType>::base_t::value_t adelie_core::glm::GlmMultinomial<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   74 |     return (
      |            ~
   75 |         weights.matrix().transpose().array() * (
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   76 |             - (y * eta_shift).rowwise().sum()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   77 |             + eta_shift.exp().rowwise().sum().log()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   78 |         )
      |         ~ 
   79 |     ).sum() / y.cols();
      |     ~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:65:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69:   required from ‘Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::CoeffReturnType Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::coeff(Eigen::Index, Eigen::Index) const [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; Lhs = const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >; Rhs = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > >; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs = Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > >; CoeffReturnType = double; Eigen::Index = long int]’
  769 |     return m_d.func()(m_d.lhsImpl.coeff(row, col), m_d.rhsImpl.coeff(row, col));
      |                                                    ~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:23:   required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; CoeffReturnType = double; Eigen::Index = long int]’
  381 |   { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); }
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:202:33:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > > >; Scalar = double]’
  202 |     res = eval.coeffByOuterInner(0, 0);
      |           ~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:79:10:   required from ‘typename adelie_core::glm::GlmMultinomial<ValueType>::base_t::value_t adelie_core::glm::GlmMultinomial<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   74 |     return (
      |            ~
   75 |         weights.matrix().transpose().array() * (
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   76 |             - (y * eta_shift).rowwise().sum()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   77 |             + eta_shift.exp().rowwise().sum().log()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   78 |         )
      |         ~ 
   79 |     ).sum() / y.cols();
      |     ~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:65:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, 1, -1, true>; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, 1, -1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, 1, -1, true> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, 1, -1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:23:   required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1> >; CoeffReturnType = double; Eigen::Index = long int]’
  381 |   { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); }
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:202:33:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1> > >; Scalar = double]’
  202 |     res = eval.coeffByOuterInner(0, 0);
      |           ~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.ipp:48:10:   required from ‘typename adelie_core::glm::GlmMultiGaussian<ValueType>::base_t::value_t adelie_core::glm::GlmMultiGaussian<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   45 |     return (
      |            ~
   46 |         weights.matrix().transpose().array() *
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   47 |         (0.5 * eta.square() - y * eta).rowwise().sum()
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   48 |     ).sum() / y.cols();
      |     ~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.ipp:40:1:   required from here
   10 |     GlmMultiGaussian<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::Block<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Block<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Block<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:116:1:   required from ‘ResultType Eigen::internal::member_maxCoeff<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, member_maxCoeff<double, double>, 1>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, member_maxCoeff<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, member_maxCoeff<double, double>, 1>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::internal::member_maxCoeff<double, double>, 1>; Derived = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:31:13:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   31 |     eta_max = eta.rowwise().maxCoeff();
      |     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:24:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, member_sum<double, double>, 1>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, member_sum<double, double>, 1>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:34:13:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   34 |     sum_exp = grad.rowwise().sum();
      |     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:24:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:23:   required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; CoeffReturnType = double; Eigen::Index = long int]’
  381 |   { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); }
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:202:33:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > > >; Scalar = double]’
  202 |     res = eval.coeffByOuterInner(0, 0);
      |           ~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:79:10:   required from ‘typename adelie_core::glm::GlmMultinomial<ValueType>::base_t::value_t adelie_core::glm::GlmMultinomial<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   74 |     return (
      |            ~
   75 |         weights.matrix().transpose().array() * (
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   76 |             - (y * eta_shift).rowwise().sum()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   77 |             + eta_shift.exp().rowwise().sum().log()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   78 |         )
      |         ~ 
   79 |     ).sum() / y.cols();
      |     ~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:65:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69:   required from ‘Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::CoeffReturnType Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::coeff(Eigen::Index, Eigen::Index) const [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; Lhs = const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >; Rhs = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > >; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs = Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > >; CoeffReturnType = double; Eigen::Index = long int]’
  769 |     return m_d.func()(m_d.lhsImpl.coeff(row, col), m_d.rhsImpl.coeff(row, col));
      |                                                    ~~~~~~~~~~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:23:   required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; CoeffReturnType = double; Eigen::Index = long int]’
  381 |   { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); }
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:202:33:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > > >; Scalar = double]’
  202 |     res = eval.coeffByOuterInner(0, 0);
      |           ~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:79:10:   required from ‘typename adelie_core::glm::GlmMultinomial<ValueType>::base_t::value_t adelie_core::glm::GlmMultinomial<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   74 |     return (
      |            ~
   75 |         weights.matrix().transpose().array() * (
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   76 |             - (y * eta_shift).rowwise().sum()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   77 |             + eta_shift.exp().rowwise().sum().log()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   78 |         )
      |         ~ 
   79 |     ).sum() / y.cols();
      |     ~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:65:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::Block<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Block<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Block<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:116:1:   required from ‘ResultType Eigen::internal::member_maxCoeff<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, member_maxCoeff<double, double>, 1>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, member_maxCoeff<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, member_maxCoeff<double, double>, 1>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::internal::member_maxCoeff<double, double>, 1>; Derived = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:31:13:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   31 |     eta_max = eta.rowwise().maxCoeff();
      |     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.ipp:24:1:   required from here
   10 |     GlmMultinomial<ValueType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I../inst/adelie/adelie/src/include -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS  -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include   -fopenmp -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer    -c rcpp_io.cpp -o rcpp_io.o
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from decl.h:3,
                 from rcpp_io.h:2,
                 from rcpp_io.cpp:1:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 1, -1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from ‘struct Eigen::internal::traits<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 1, -1, 1, 1, -1>’
   45 | class Array
      |       ^~~~~
../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:179:18:   required from here
  179 |     vec_impute_t _impute;
      |                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 1, -1, 1, 1, -1>’
   45 | class Array
      |       ^~~~~
../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:179:18:   required from here
  179 |     vec_impute_t _impute;
      |                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:329:77:   required from ‘class Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >’
  329 | template<typename TPlainObjectType, int Options, typename StrideType> class Ref<const TPlainObjectType, Options, StrideType>
      |                                                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:216:5:   required from here
  216 |     {
      |     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76:   required from ‘class Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >’
  281 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
      |                                                                            ^~~
../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:76:1:   required from here
   76 | )
      | ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
   45 | class Array
      |       ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49:   required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   24 |                              ? PlainObjectType::ColsAtCompileTime
      |                                                 ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from ‘class Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_io.h:30:5:   required from here
   30 |     {
      |     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
rcpp_io.h:30:5:   required from here
   30 |     {
      |     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:977:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
  977 | struct evaluator<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71:   required from ‘struct Eigen::internal::evaluator<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
 1018 |     Flags = evaluator<Map<PlainObjectType, RefOptions, StrideType> >::Flags,
      |                                                                       ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >::match<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >]’
  288 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
      |                                                                                                     ^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.ipp:100:19:   required from ‘std::tuple<long unsigned int, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, double, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, double> > > > adelie_core::io::IOSNPUnphased<MmapPtrType>::write(const Eigen::Ref<const Eigen::Array<signed char, -1, -1, 0, -1, -1> >&, const std::string&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const [with MmapPtrType = std::shared_ptr<char>; std::string = std::__cxx11::basic_string<char>; size_t = long unsigned int]’
  100 |     compute_impute(calldata, impute_method, impute, n_threads);
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_io.h:33:41:   required from here
   33 |         return std::get<0>(base_t::write(calldata8, impute_method, impute, n_threads));
      |                            ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.ipp:3,
                 from rcpp_io.h:4:
../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.ipp: In instantiation of ‘std::tuple<long unsigned int, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, double, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, double> > > > adelie_core::io::IOSNPUnphased<MmapPtrType>::write(const Eigen::Ref<const Eigen::Array<signed char, -1, -1, 0, -1, -1> >&, const std::string&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const [with MmapPtrType = std::shared_ptr<char>; std::string = std::__cxx11::basic_string<char>; size_t = long unsigned int]’:
rcpp_io.h:33:41:   required from here
   33 |         return std::get<0>(base_t::write(calldata8, impute_method, impute, n_threads));
      |                            ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:74:43: note: initializing argument 3 of ‘void adelie_core::io::compute_impute(const Eigen::Ref<const Eigen::Array<signed char, -1, -1, 0, -1, -1> >&, adelie_core::util::impute_method_type, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)’
   74 |     Eigen::Ref<util::rowvec_type<double>> impute,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I../inst/adelie/adelie/src/include -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS  -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include   -fopenmp -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer    -c rcpp_matrix.cpp -o rcpp_matrix.o
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from decl.h:3,
                 from rcpp_matrix.h:2,
                 from rcpp_matrix.cpp:1:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 1, -1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from ‘struct Eigen::internal::traits<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 1, -1, 1, 1, -1>’
   45 | class Array
      |       ^~~~~
../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:179:18:   required from here
  179 |     vec_impute_t _impute;
      |                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 1, -1, 1, 1, -1>’
   45 | class Array
      |       ^~~~~
../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:179:18:   required from here
  179 |     vec_impute_t _impute;
      |                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:329:77:   required from ‘class Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >’
  329 | template<typename TPlainObjectType, int Options, typename StrideType> class Ref<const TPlainObjectType, Options, StrideType>
      |                                                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:216:5:   required from here
  216 |     {
      |     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76:   required from ‘class Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >’
  281 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
      |                                                                            ^~~
../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:76:1:   required from here
   76 | )
      | ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
   45 | class Array
      |       ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49:   required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   24 |                              ? PlainObjectType::ColsAtCompileTime
      |                                                 ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from ‘class Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_io.h:30:5:   required from here
   30 |     {
      |     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
rcpp_io.h:30:5:   required from here
   30 |     {
      |     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49:   required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
   24 |                              ? PlainObjectType::ColsAtCompileTime
      |                                                 ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_matrix.h:452:26:   required from here
  452 |         vec_value_t out(Q.cols());
      |                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
rcpp_matrix.h:452:26:   required from here
  452 |         vec_value_t out(Q.cols());
      |                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:329:77:   required from ‘class Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
  329 | template<typename TPlainObjectType, int Options, typename StrideType> class Ref<const TPlainObjectType, Options, StrideType>
      |                                                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_matrix.h:453:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76:   required from ‘class Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
  281 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
      |                                                                            ^~~
rcpp_matrix.h:518:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1, 1, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:140:18:   required from ‘class adelie_core::matrix::MatrixNaiveBase<double, int>’
  140 |     virtual void sp_tmul(
      |                  ^~~~~~~
rcpp_matrix.h:612:24:   required from here
   27 |         if (!ptr) { \
      |              ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 1> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 1>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
rcpp_matrix.h:711:35:   required from here
  711 |         dense_64F_t outT(rows(), v.rows());
      |                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
rcpp_matrix.h:713:40:   required from here
  713 |         Eigen::Map<rowmat_value_t> out(outT.data(), outT.cols(), outT.rows());
      |                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76:   required from ‘class Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’
  281 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
      |                                                                            ^~~
rcpp_matrix.h:714:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:34:37:   required from ‘class adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>’
   34 |     const Eigen::Map<const dense_t> _mat;   // (n, d) underlying matrix
      |                                     ^~~~
rcpp_matrix.h:756:1:   required from here
  757 |     auto groups() const { return dynamic_cast<matrix_naive_interaction_dense_64F_t&>(*ptr).groups(); }
      |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
rcpp_matrix.cpp:18:48:   required from here
   18 |     const Eigen::Map<const rowmat_value_t> mat(matT.data(), matT.cols(), matT.rows());
      |                                                ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:977:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
  977 | struct evaluator<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71:   required from ‘struct Eigen::internal::evaluator<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
 1018 |     Flags = evaluator<Map<PlainObjectType, RefOptions, StrideType> >::Flags,
      |                                                                       ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >::match<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >]’
  288 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
      |                                                                                                     ^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.ipp:100:19:   required from ‘std::tuple<long unsigned int, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, double, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, double> > > > adelie_core::io::IOSNPUnphased<MmapPtrType>::write(const Eigen::Ref<const Eigen::Array<signed char, -1, -1, 0, -1, -1> >&, const std::string&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const [with MmapPtrType = std::shared_ptr<char>; std::string = std::__cxx11::basic_string<char>; size_t = long unsigned int]’
  100 |     compute_impute(calldata, impute_method, impute, n_threads);
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_io.h:33:41:   required from here
   33 |         return std::get<0>(base_t::write(calldata8, impute_method, impute, n_threads));
      |                            ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.ipp:3,
                 from rcpp_io.h:4,
                 from rcpp_matrix.h:4:
../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.ipp: In instantiation of ‘std::tuple<long unsigned int, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, double, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, double> > > > adelie_core::io::IOSNPUnphased<MmapPtrType>::write(const Eigen::Ref<const Eigen::Array<signed char, -1, -1, 0, -1, -1> >&, const std::string&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const [with MmapPtrType = std::shared_ptr<char>; std::string = std::__cxx11::basic_string<char>; size_t = long unsigned int]’:
rcpp_io.h:33:41:   required from here
   33 |         return std::get<0>(base_t::write(calldata8, impute_method, impute, n_threads));
      |                            ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:74:43: note: initializing argument 3 of ‘void adelie_core::io::compute_impute(const Eigen::Ref<const Eigen::Array<signed char, -1, -1, 0, -1, -1> >&, adelie_core::util::impute_method_type, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)’
   74 |     Eigen::Ref<util::rowvec_type<double>> impute,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:118:45:   required from ‘void adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::mean(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) const [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  118 |         vec_value_t ones = vec_value_t::Ones(weights.size());
      |                            ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
rcpp_matrix.h:723:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:132:35:   required from ‘void adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::var(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) const [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  132 |         out += centers * (centers * sum_w - 2 * m);
      |                           ~~~~~~~~^~~~~~~
rcpp_matrix.h:733:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:132:35:   required from ‘void adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::var(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) const [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  132 |         out += centers * (centers * sum_w - 2 * m);
      |                           ~~~~~~~~^~~~~~~
rcpp_matrix.h:733:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:132:47:   required from ‘void adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::var(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) const [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  132 |         out += centers * (centers * sum_w - 2 * m);
      |                                             ~~^~~
rcpp_matrix.h:733:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:132:43:   required from ‘void adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::var(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) const [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  132 |         out += centers * (centers * sum_w - 2 * m);
      |                          ~~~~~~~~~~~~~~~~~^~~~~~~~
rcpp_matrix.h:733:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:132:24:   required from ‘void adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::var(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) const [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  132 |         out += centers * (centers * sum_w - 2 * m);
      |                ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_matrix.h:733:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   50 | class SparseMapBase<Derived,ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7:   required from ‘class Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >’
  255 | class Map<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_sparse.hpp:33:38:   required from ‘class adelie_core::matrix::MatrixConstraintSparse<Eigen::SparseMatrix<double, 1>, int>’
   33 |     const Eigen::Map<const sparse_t> _mat;  // underlying sparse matrix
      |                                      ^~~~
/usr/include/c++/15/type_traits:1566:30:   required from ‘struct std::is_convertible<adelie_core::matrix::MatrixConstraintSparse<Eigen::SparseMatrix<double, 1>, int>*, adelie_core::matrix::MatrixConstraintBase<double, int>*>’
 1566 |     : public __bool_constant<__is_convertible(_From, _To)>
      |                              ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/bits/shared_ptr_base.h:1270:12:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:1151:25:   required by substitution of ‘template<class _Tp, class ... _Args> using std::__is_constructible_impl = std::__bool_constant<__is_constructible(_Tp, _Args ...)> [with _Tp = std::__shared_ptr<adelie_core::matrix::MatrixConstraintBase<double, int>, __gnu_cxx::_S_atomic>; _Args = {const std::shared_ptr<adelie_core::matrix::MatrixConstraintSparse<Eigen::SparseMatrix<double, 1, int>, int> >&}]’
 1151 |       = __bool_constant<__is_constructible(_Tp, _Args...)>;
      |                         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:1156:12:   required from ‘struct std::is_constructible<std::__shared_ptr<adelie_core::matrix::MatrixConstraintBase<double, int>, __gnu_cxx::_S_atomic>, const std::shared_ptr<adelie_core::matrix::MatrixConstraintSparse<Eigen::SparseMatrix<double, 1, int>, int> >&>’
 1156 |     struct is_constructible
      |            ^~~~~~~~~~~~~~~~
/usr/include/c++/15/bits/shared_ptr.h:178:8:   required by substitution of ‘template<class _Tp> template<class ... _Args> using std::shared_ptr<_Tp>::_Constructible = typename std::enable_if<std::is_constructible<std::__shared_ptr<_Tp>, _Args ...>::value>::type [with _Args = {const std::shared_ptr<adelie_core::matrix::MatrixConstraintSparse<Eigen::SparseMatrix<double, 1, int>, int> >&}; _Tp = adelie_core::matrix::MatrixConstraintBase<double, int>]’
  178 |         using _Constructible = typename enable_if<
      |               ^~~~~~~~~~~~~~
/usr/include/c++/15/bits/shared_ptr.h:349:9:   required by substitution of ‘template<class _Yp, class> std::shared_ptr<adelie_core::matrix::MatrixConstraintBase<double, int> >::shared_ptr(const std::shared_ptr<_Tp>&) [with _Yp = adelie_core::matrix::MatrixConstraintSparse<Eigen::SparseMatrix<double, 1>, int>; <template-parameter-1-2> = <missing>]’
  349 |                typename = _Constructible<const shared_ptr<_Yp>&>>
      |                ^~~~~~~~
rcpp_matrix.h:739:1:   required from ‘RMatrixConstraintSparse64F::RMatrixConstraintSparse64F(Args&& ...) [with Args = {const long unsigned int&, const long unsigned int&, const long unsigned int&, const Eigen::Map<Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const long unsigned int&}]’
   41 |             bname(std::make_shared<aname>(std::forward<Args>(args)...)) \
      |                                                                       ^
rcpp_matrix.cpp:36:5:   required from here
   36 |     );
      |     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 0>’
   50 | class SparseMapBase<Derived,ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7:   required from ‘class Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >’
  255 | class Map<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_sparse.hpp:32:38:   required from ‘class adelie_core::matrix::MatrixCovSparse<Eigen::SparseMatrix<double, 0, int>, int>’
   32 |     const Eigen::Map<const sparse_t> _mat;  // underlying sparse matrix
      |                                      ^~~~
/usr/include/c++/15/type_traits:1566:30:   required from ‘struct std::is_convertible<adelie_core::matrix::MatrixCovSparse<Eigen::SparseMatrix<double, 0, int>, int>*, adelie_core::matrix::MatrixCovBase<double, int>*>’
 1566 |     : public __bool_constant<__is_convertible(_From, _To)>
      |                              ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/bits/shared_ptr_base.h:1270:12:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:1151:25:   required by substitution of ‘template<class _Tp, class ... _Args> using std::__is_constructible_impl = std::__bool_constant<__is_constructible(_Tp, _Args ...)> [with _Tp = std::__shared_ptr<adelie_core::matrix::MatrixCovBase<double, int>, __gnu_cxx::_S_atomic>; _Args = {const std::shared_ptr<adelie_core::matrix::MatrixCovSparse<Eigen::SparseMatrix<double, 0, int>, int> >&}]’
 1151 |       = __bool_constant<__is_constructible(_Tp, _Args...)>;
      |                         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:1156:12:   required from ‘struct std::is_constructible<std::__shared_ptr<adelie_core::matrix::MatrixCovBase<double, int>, __gnu_cxx::_S_atomic>, const std::shared_ptr<adelie_core::matrix::MatrixCovSparse<Eigen::SparseMatrix<double, 0, int>, int> >&>’
 1156 |     struct is_constructible
      |            ^~~~~~~~~~~~~~~~
/usr/include/c++/15/bits/shared_ptr.h:178:8:   required by substitution of ‘template<class _Tp> template<class ... _Args> using std::shared_ptr<_Tp>::_Constructible = typename std::enable_if<std::is_constructible<std::__shared_ptr<_Tp>, _Args ...>::value>::type [with _Args = {const std::shared_ptr<adelie_core::matrix::MatrixCovSparse<Eigen::SparseMatrix<double, 0, int>, int> >&}; _Tp = adelie_core::matrix::MatrixCovBase<double, int>]’
  178 |         using _Constructible = typename enable_if<
      |               ^~~~~~~~~~~~~~
/usr/include/c++/15/bits/shared_ptr.h:349:9:   required by substitution of ‘template<class _Yp, class> std::shared_ptr<adelie_core::matrix::MatrixCovBase<double, int> >::shared_ptr(const std::shared_ptr<_Tp>&) [with _Yp = adelie_core::matrix::MatrixCovSparse<Eigen::SparseMatrix<double, 0, int>, int>; <template-parameter-1-2> = <missing>]’
  349 |                typename = _Constructible<const shared_ptr<_Yp>&>>
      |                ^~~~~~~~
rcpp_matrix.h:745:1:   required from ‘RMatrixCovSparse64F::RMatrixCovSparse64F(Args&& ...) [with Args = {const long unsigned int&, const long unsigned int&, const long unsigned int&, const Eigen::Map<Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const long unsigned int&}]’
   41 |             bname(std::make_shared<aname>(std::forward<Args>(args)...)) \
      |                                                                       ^
rcpp_matrix.cpp:79:89:   required from here
   79 |     return new r_matrix_cov_sparse_64F_t(rows, cols, nnz, outer, inner, value, n_threads);
      |                                                                                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:32:28:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/type_traits:1151:25:   required by substitution of ‘template<class _Tp, class ... _Args> using std::__is_constructible_impl = std::__bool_constant<__is_constructible(_Tp, _Args ...)> [with _Tp = std::__shared_ptr<adelie_core::matrix::MatrixNaiveBase<double, int>, __gnu_cxx::_S_atomic>; _Args = {const std::shared_ptr<adelie_core::matrix::MatrixNaiveStandardize<double, int> >&}]’
 1151 |       = __bool_constant<__is_constructible(_Tp, _Args...)>;
      |                         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/type_traits:1156:12:   required from ‘struct std::is_constructible<std::__shared_ptr<adelie_core::matrix::MatrixNaiveBase<double, int>, __gnu_cxx::_S_atomic>, const std::shared_ptr<adelie_core::matrix::MatrixNaiveStandardize<double, int> >&>’
 1156 |     struct is_constructible
      |            ^~~~~~~~~~~~~~~~
/usr/include/c++/15/bits/shared_ptr.h:178:8:   required by substitution of ‘template<class _Tp> template<class ... _Args> using std::shared_ptr<_Tp>::_Constructible = typename std::enable_if<std::is_constructible<std::__shared_ptr<_Tp>, _Args ...>::value>::type [with _Args = {const std::shared_ptr<adelie_core::matrix::MatrixNaiveStandardize<double, int> >&}; _Tp = adelie_core::matrix::MatrixNaiveBase<double, int>]’
  178 |         using _Constructible = typename enable_if<
      |               ^~~~~~~~~~~~~~
/usr/include/c++/15/bits/shared_ptr.h:349:9:   required by substitution of ‘template<class _Yp, class> std::shared_ptr<adelie_core::matrix::MatrixNaiveBase<double, int> >::shared_ptr(const std::shared_ptr<_Tp>&) [with _Yp = adelie_core::matrix::MatrixNaiveStandardize<double, int>; <template-parameter-1-2> = <missing>]’
  349 |                typename = _Constructible<const shared_ptr<_Yp>&>>
      |                ^~~~~~~~
rcpp_matrix.h:769:1:   required from ‘RMatrixNaiveStandardize64::RMatrixNaiveStandardize64(Args&& ...) [with Args = {adelie_core::matrix::MatrixNaiveBase<double, int>&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const long unsigned int&}]’
   41 |             bname(std::make_shared<aname>(std::forward<Args>(args)...)) \
      |                                                                       ^
rcpp_matrix.cpp:245:85:   required from here
  245 |     return new r_matrix_naive_standardize_64_t(*mat->ptr, centers, scales, n_threads);
      |                                                                                     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71:   required from ‘struct Eigen::internal::evaluator<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
 1018 |     Flags = evaluator<Map<PlainObjectType, RefOptions, StrideType> >::Flags,
      |                                                                       ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:128:39:   required from ‘void adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::var(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) const [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  128 |         const auto sum_w = weights.sum();
      |                            ~~~~~~~~~~~^~
rcpp_matrix.h:733:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, 1, -1, 1, 1, -1>; Src = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Func = assign_op<double, double>]’
  883 |   ActualDstType actualDst(dst);
      |                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:371:41:   required from ‘void Eigen::Ref<const TPlainObjectType, Options, StrideType>::construct(const Expression&, Eigen::internal::false_type) [with Expression = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array<double, 1, -1, 1, 1, -1>; int Options = 0; StrideType = Eigen::InnerStride<1>]’
  371 |       internal::call_assignment_no_alias(m_object,expr,internal::assign_op<Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:364:18:   required from ‘void Eigen::Ref<const TPlainObjectType, Options, StrideType>::construct(const Expression&, Eigen::internal::true_type) [with Expression = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array<double, 1, -1, 1, 1, -1>; int Options = 0; StrideType = Eigen::InnerStride<1>]’
  364 |         construct(expr, internal::false_type());
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:345:16:   required from ‘Eigen::Ref<const TPlainObjectType, Options, StrideType>::Ref(const Eigen::DenseBase<OtherDerived>&, typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits<Eigen::Ref<const TPlainObjectType, Options, StrideType> >::match<Derived>::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array<double, 1, -1, 1, 1, -1>; int Options = 0; StrideType = Eigen::InnerStride<1>; typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits<Eigen::Ref<const TPlainObjectType, Options, StrideType> >::match<Derived>::ScalarTypeMatch), Derived>::type = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<Eigen::Ref<const TPlainObjectType, Options, StrideType> >::match<Derived> = Eigen::internal::traits<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >::match<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]’
  345 |       construct(expr.derived(), typename Traits::template match<Derived>::type());
      |       ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_matrix.h:472:24:   required from here
  472 |         return [&]() { ADELIE_CORE_PIMPL_OVERRIDE(rvmul, j, v); }();
      |                                                             ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:128:39:   required from ‘void adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::var(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) const [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  128 |         const auto sum_w = weights.sum();
      |                            ~~~~~~~~~~~^~
rcpp_matrix.h:733:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:329:77:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/15/bits/shared_ptr_base.h:969:16:   required from ‘std::__shared_count<_Lp>::__shared_count(_Tp*&, std::_Sp_alloc_shared_tag<_Alloc>, _Args&& ...) [with _Tp = adelie_core::matrix::MatrixConstraintDense<Eigen::Matrix<double, -1, -1, 1, -1, -1>, int>; _Alloc = std::allocator<void>; _Args = {const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >&, const long unsigned int&}; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’
  969 |           auto __pi = ::new (__mem)
      |                       ^~~~~~~~~~~~~
  970 |             _Sp_cp_type(__a._M_a, std::forward<_Args>(__args)...);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/bits/shared_ptr_base.h:1719:14:   required from ‘std::__shared_ptr<_Tp, _Lp>::__shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator<void>; _Args = {const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >&, const long unsigned int&}; _Tp = adelie_core::matrix::MatrixConstraintDense<Eigen::Matrix<double, -1, -1, 1, -1, -1>, int>; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’
 1719 |         : _M_ptr(), _M_refcount(_M_ptr, __tag, std::forward<_Args>(__args)...)
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/15/bits/shared_ptr.h:463:59:   required from ‘std::shared_ptr<_Tp>::shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator<void>; _Args = {const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >&, const long unsigned int&}; _Tp = adelie_core::matrix::MatrixConstraintDense<Eigen::Matrix<double, -1, -1, 1, -1, -1>, int>]’
  463 |         : __shared_ptr<_Tp>(__tag, std::forward<_Args>(__args)...)
      |                                                                  ^
/usr/include/c++/15/bits/shared_ptr.h:1007:14:   required from ‘std::shared_ptr<typename std::enable_if<(! std::is_array<_Tp>::value), _Tp>::type> std::make_shared(_Args&& ...) [with _Tp = adelie_core::matrix::MatrixConstraintDense<Eigen::Matrix<double, -1, -1, 1, -1, -1>, int>; _Args = {const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >&, const long unsigned int&}; typename enable_if<(! is_array<_Tp>::value), _Tp>::type = adelie_core::matrix::MatrixConstraintDense<Eigen::Matrix<double, -1, -1, 1, -1, -1>, int>]’
 1007 |       return shared_ptr<_Tp>(_Sp_alloc_shared_tag<_Alloc>{__a},
      |              ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1008 |                              std::forward<_Args>(__args)...);
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_matrix.h:738:1:   required from ‘RMatrixConstraintDense64F::RMatrixConstraintDense64F(Args&& ...) [with Args = {const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >&, const long unsigned int&}]’
   41 |             bname(std::make_shared<aname>(std::forward<Args>(args)...)) \
      |                   ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_matrix.cpp:22:5:   required from here
   22 |     );
      |     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
rcpp_matrix.h:371:20:   required from ‘void adelie_core::matrix::MatrixNaiveS4<ValueType, IndexType>::sp_tmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t>) const [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  369 |         out = Rcpp::as<colmat_value_t>(
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |             ADELIE_CORE_S4_PURE_OVERRIDE(sp_tmul, _mat, v)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  371 |         ).transpose();
      |         ~~~~~~~~~~~^~
rcpp_matrix.h:364:10:   required from here
  364 |     void sp_tmul(
      |          ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:977:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
  977 | struct evaluator<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71:   required from ‘struct Eigen::internal::evaluator<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
 1018 |     Flags = evaluator<Map<PlainObjectType, RefOptions, StrideType> >::Flags,
      |                                                                       ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
  288 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
      |                                                                                                     ^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.ipp:506:14:   required from ‘void adelie_core::matrix::MatrixNaiveRSubset<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) const [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  506 |     _mat->cov(j, q, buffer, out);
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.ipp:490:1:   required from here
   19 |     MatrixNaiveRSubset<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.ipp:2,
                 from rcpp_matrix.h:13:
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.ipp: In instantiation of ‘void adelie_core::matrix::MatrixNaiveRSubset<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) const [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’:
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.ipp:490:1:   required from here
   19 |     MatrixNaiveRSubset<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:104:36: note: initializing argument 4 of ‘void adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Matrix<Type, -1, -1> >) const [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  104 |         Eigen::Ref<colmat_value_t> out
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.ipp:537:16:   required from ‘void adelie_core::matrix::MatrixNaiveRSubset<ValueType, IndexType>::sp_tmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t>) const [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  537 |         out.col(i) = _out.col(_subset[i]);
      |         ~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.ipp:526:1:   required from here
   19 |     MatrixNaiveRSubset<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.ipp:537:30:   required from ‘void adelie_core::matrix::MatrixNaiveRSubset<ValueType, IndexType>::sp_tmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t>) const [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  537 |         out.col(i) = _out.col(_subset[i]);
      |                      ~~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.ipp:526:1:   required from here
   19 |     MatrixNaiveRSubset<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.ipp:123:40:   required from ‘void adelie_core::matrix::MatrixNaiveCSubset<ValueType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  123 |             auto curr_out = out.segment(n_processed, size);
      |                             ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.ipp:107:1:   required from here
   10 |     MatrixNaiveCSubset<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:277:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >::match<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
  288 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
      |                                                                                                     ^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.ipp:124:23:   required from ‘void adelie_core::matrix::MatrixNaiveCSubset<ValueType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  124 |             _mat->bmul(_subset[k], size, v, weights, curr_out);
      |             ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.ipp:107:1:   required from here
   10 |     MatrixNaiveCSubset<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.ipp:172:42:   required from ‘void adelie_core::matrix::MatrixNaiveCSubset<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  172 |             const auto curr_v = v.segment(n_processed, size);
      |                                 ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.ipp:157:1:   required from here
   10 |     MatrixNaiveCSubset<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >::match<Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:340:101:   required by substitution of ‘template<class Derived> Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >::match<Derived>::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
  340 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::ScalarTypeMatch),Derived>::type* = 0)
      |                                                                                                     ^~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.ipp:173:24:   required from ‘void adelie_core::matrix::MatrixNaiveCSubset<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  173 |             _mat->btmul(_subset[k], size, curr_v, out);
      |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.ipp:157:1:   required from here
   10 |     MatrixNaiveCSubset<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.ipp:254:36:   required from ‘void adelie_core::matrix::MatrixNaiveCSubset<ValueType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) const [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  254 |         curr_out = sq_means.segment(j, q);
      |                    ~~~~~~~~~~~~~~~~^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.ipp:239:1:   required from here
   10 |     MatrixNaiveCSubset<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.ipp:271:29:   required from ‘void adelie_core::matrix::MatrixNaiveCSubset<ValueType, IndexType>::sp_tmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t>) const [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  271 |         auto out_k = out.row(k);
      |                      ~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.ipp:260:1:   required from here
   10 |     MatrixNaiveCSubset<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71:   required from ‘struct Eigen::internal::evaluator<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
 1018 |     Flags = evaluator<Map<PlainObjectType, RefOptions, StrideType> >::Flags,
      |                                                                       ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >::match<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]’
  288 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
      |                                                                                                     ^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.ipp:274:24:   required from ‘void adelie_core::matrix::MatrixNaiveCSubset<ValueType, IndexType>::sp_tmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t>) const [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  274 |             _mat->ctmul(_subset[it.index()], it.value(), out_k);
      |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.ipp:260:1:   required from here
   10 |     MatrixNaiveCSubset<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >::match<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]’
  288 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
      |                                                                                                     ^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.ipp:274:24:   required from ‘void adelie_core::matrix::MatrixNaiveCSubset<ValueType, IndexType>::sp_tmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t>) const [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  274 |             _mat->ctmul(_subset[it.index()], it.value(), out_k);
      |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.ipp:260:1:   required from here
   10 |     MatrixNaiveCSubset<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:49:37:   required from ‘typename adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   49 |         (c == 0) ? 0 : ddot(v.matrix(), weights.matrix(), _n_threads, _buff)
      |                             ~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:40:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:55)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:55)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:55)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:55)>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:86:33:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   86 |         vec_value_t::NullaryExpr(out.size(), [&](auto) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
   87 |             return vsc;
      |             ~~~~~~~~~~~          
   88 |         }),
      |         ~~                       
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:73:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:104:36:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  104 |     const auto c = _centers.segment(j, q);
      |                    ~~~~~~~~~~~~~~~~^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:95:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:109:30:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  109 |     dvveq(out, (out - vw_sum * c) / s, _n_threads);
      |                       ~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:95:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:109:21:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  109 |     dvveq(out, (out - vw_sum * c) / s, _n_threads);
      |                ~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:95:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:109:35:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  109 |     dvveq(out, (out - vw_sum * c) / s, _n_threads);
      |                ~~~~~~~~~~~~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:95:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:143:17:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  143 |     dvveq(vs, v / s, _n_threads);
      |               ~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:134:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >::match<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:340:101:   required by substitution of ‘template<class Derived> Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >::match<Derived>::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>]’
  340 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::ScalarTypeMatch),Derived>::type* = 0)
      |                                                                                                     ^~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:144:16:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  144 |     _mat->btmul(j, q, vs, out);
      |     ~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:134:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:148:38:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  148 |         _centers.segment(j, q).matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:134:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:149:18:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  149 |         vs.matrix(),
      |         ~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:134:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::btmul(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:56)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::btmul(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:56)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::btmul(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:56)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::btmul(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:56)>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:156:33:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  156 |         vec_value_t::NullaryExpr(out.size(), [&](auto) { return vsc; }),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:134:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:172:30:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) const [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  172 |     dvveq(out, (out - vw_sum * _centers) / _scales, _n_threads);
      |                       ~~~~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:163:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:172:21:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) const [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  172 |     dvveq(out, (out - vw_sum * _centers) / _scales, _n_threads);
      |                ~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:163:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:172:42:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) const [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  172 |     dvveq(out, (out - vw_sum * _centers) / _scales, _n_threads);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:163:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:212:56:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) const [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  212 |         out_lower.rankUpdate(centers.matrix().transpose(), means.matrix().transpose(), -1);
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:191:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:212:72:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) const [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  212 |         out_lower.rankUpdate(centers.matrix().transpose(), means.matrix().transpose(), -1);
      |                                                            ~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:191:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:212:84:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) const [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  212 |         out_lower.rankUpdate(centers.matrix().transpose(), means.matrix().transpose(), -1);
      |                                                            ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:191:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:213:79:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) const [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  213 |         out_lower.rankUpdate(centers.matrix().transpose(), sqrt_weights.square().sum());
      |                                                            ~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:191:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:214:68:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) const [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  214 |         out.template triangularView<Eigen::Upper>() = out.transpose();
      |                                                       ~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:191:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:217:14:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) const [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  217 |     out.array().rowwise() /= scales;
      |     ~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:191:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:218:63:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) const [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  218 |     out.array().colwise() /= scales.matrix().transpose().array();
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:191:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:233:36:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) const [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  233 |     dvveq(out, (out - 2 * _centers * mat_means + w_sum * _centers.square()) / _scales.square(), _n_threads);
      |                       ~~~~~~~~~~~~~^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:223:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:233:21:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) const [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  233 |     dvveq(out, (out - 2 * _centers * mat_means + w_sum * _centers.square()) / _scales.square(), _n_threads);
      |                 ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:223:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:233:73:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) const [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  233 |     dvveq(out, (out - 2 * _centers * mat_means + w_sum * _centers.square()) / _scales.square(), _n_threads);
      |                                                          ~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:223:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:233:56:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) const [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  233 |     dvveq(out, (out - 2 * _centers * mat_means + w_sum * _centers.square()) / _scales.square(), _n_threads);
      |                                                  ~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:223:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:233:48:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) const [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  233 |     dvveq(out, (out - 2 * _centers * mat_means + w_sum * _centers.square()) / _scales.square(), _n_threads);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:223:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:233:77:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) const [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  233 |     dvveq(out, (out - 2 * _centers * mat_means + w_sum * _centers.square()) / _scales.square(), _n_threads);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:223:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > > >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > > >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from ‘class Eigen::internal::SparseTransposeImpl<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 1024>’
   22 |   class SparseTransposeImpl<MatrixType,CompressedAccessBit>
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, Eigen::Sparse>’
   45 | template<typename MatrixType> class TransposeImpl<MatrixType,Sparse>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.ipp:284:20:   required from ‘void adelie_core::matrix::MatrixNaiveSparse<SparseType, IndexType>::sp_tmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with SparseType = Eigen::SparseMatrix<double, 0, int>; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  284 |         out_k = vk * _mat.transpose();
      |                 ~~~^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.ipp:262:1:   required from here
   10 |     MatrixNaiveSparse<SparseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.ipp:119:22:   required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry<ValueType, MmapPtrType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr<char>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  119 |         _io, j, q, v * weights, out, _n_threads, _buff
      |                    ~~^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.ipp:109:1:   required from here
   14 |     MatrixNaiveSNPPhasedAncestry<ValueType, MmapPtrType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.ipp:219:45:   required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry<ValueType, MmapPtrType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) const [with ValueType = double; MmapPtrType = std::shared_ptr<char>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  219 |                 auto out_diag = out.diagonal().segment(n_solved0, a_size);
      |                                 ~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.ipp:169:1:   required from here
   14 |     MatrixNaiveSNPPhasedAncestry<ValueType, MmapPtrType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Diagonal<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Diagonal<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Diagonal<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Diagonal<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Diagonal<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Diagonal<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.ipp:219:55:   required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry<ValueType, MmapPtrType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) const [with ValueType = double; MmapPtrType = std::shared_ptr<char>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  219 |                 auto out_diag = out.diagonal().segment(n_solved0, a_size);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.ipp:169:1:   required from here
   14 |     MatrixNaiveSNPPhasedAncestry<ValueType, MmapPtrType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveSNPPhasedAncestry<double, std::shared_ptr<char>, int>::cov(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >) const::<lambda(auto:49)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveSNPPhasedAncestry<double, std::shared_ptr<char>, int>::cov(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >) const::<lambda(auto:49)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveSNPPhasedAncestry<double, std::shared_ptr<char>, int>::cov(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >) const::<lambda(auto:49)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveSNPPhasedAncestry<double, std::shared_ptr<char>, int>::cov(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >) const::<lambda(auto:49)>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.ipp:286:49:   required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry<ValueType, MmapPtrType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) const [with ValueType = double; MmapPtrType = std::shared_ptr<char>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  286 |                         vec_value_t::NullaryExpr(sqrt_weights.size(), [&](auto i) {
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  287 |                             const auto sqrt_wi = sqrt_weights[i];
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  288 |                             return sqrt_wi * sqrt_wi * bbuff[i];
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  289 |                         }),
      |                         ~~                       
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.ipp:169:1:   required from here
   14 |     MatrixNaiveSNPPhasedAncestry<ValueType, MmapPtrType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from ‘struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179:   required from ‘struct Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >::CastXpr<double>’
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of ‘template<class NewType> typename Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >::cast() const [with NewType = double]’
   62 | cast() const
      | ^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_unphased.ipp:220:59:   required from ‘void adelie_core::matrix::MatrixNaiveSNPUnphased<ValueType, MmapPtrType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) const [with ValueType = double; MmapPtrType = std::shared_ptr<char>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  220 |                     (vbuff != _max).template cast<value_t>() * vbuff
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_unphased.ipp:163:1:   required from here
   14 |     MatrixNaiveSNPUnphased<ValueType, MmapPtrType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_unphased.ipp:220:62:   required from ‘void adelie_core::matrix::MatrixNaiveSNPUnphased<ValueType, MmapPtrType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) const [with ValueType = double; MmapPtrType = std::shared_ptr<char>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  219 |                 sqrt_weights.square() * (
      |                                         ~                     
  220 |                     (vbuff != _max).template cast<value_t>() * vbuff
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
  221 |                 ),
      |                 ~                                             
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_unphased.ipp:163:1:   required from here
   14 |     MatrixNaiveSNPUnphased<ValueType, MmapPtrType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_unphased.ipp:219:39:   required from ‘void adelie_core::matrix::MatrixNaiveSNPUnphased<ValueType, MmapPtrType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) const [with ValueType = double; MmapPtrType = std::shared_ptr<char>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  219 |                 sqrt_weights.square() * (
      |                 ~~~~~~~~~~~~~~~~~~~~~~^~~
  220 |                     (vbuff != _max).template cast<value_t>() * vbuff
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  221 |                 ),
      |                 ~                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_unphased.ipp:163:1:   required from here
   14 |     MatrixNaiveSNPUnphased<ValueType, MmapPtrType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:378:29:   required from ‘auto adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  378 |     Eigen::Map<vec_value_t> vbuff(buff.data(), _n_threads);
      |                             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:441:12:   required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  441 |     return _cmul(j, v, weights, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:434:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:379:22:   required from ‘auto adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  379 |     return ddot(V.col(l).cwiseProduct(W.col(l)), _mat.col(i), _n_threads, vbuff);
      |                 ~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:441:12:   required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  441 |     return _cmul(j, v, weights, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:434:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:379:38:   required from ‘auto adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  379 |     return ddot(V.col(l).cwiseProduct(W.col(l)), _mat.col(i), _n_threads, vbuff);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:441:12:   required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  441 |     return _cmul(j, v, weights, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:434:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:379:58:   required from ‘auto adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  379 |     return ddot(V.col(l).cwiseProduct(W.col(l)), _mat.col(i), _n_threads, vbuff);
      |                                                  ~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:441:12:   required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  441 |     return _cmul(j, v, weights, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:434:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:469:24:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  469 |     auto _out = Out.col(l);
      |                 ~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:459:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:470:20:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  470 |     dvaddi(_out, v * _mat.col(i), _n_threads);
      |                  ~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:459:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:470:20:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  470 |     dvaddi(_out, v * _mat.col(i), _n_threads);
      |                  ~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:459:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:470:11:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  470 |     dvaddi(_out, v * _mat.col(i), _n_threads);
      |     ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:459:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:541:35:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  541 |     Out.noalias() = _mat.transpose() * VW;
      |                     ~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:527:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:541:38:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  541 |     Out.noalias() = _mat.transpose() * VW;
      |                     ~~~~~~~~~~~~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:527:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:571:43:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  571 |         auto sqrt_WX_array = sqrt_WX.array();
      |                              ~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:547:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:574:28:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  574 |             _mat.middleCols(i_begin, i_q).array().colwise() * sqrt_W.col(l).array(),
      |             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:547:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:574:48:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  574 |             _mat.middleCols(i_begin, i_q).array().colwise() * sqrt_W.col(l).array(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:547:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:574:82:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  574 |             _mat.middleCols(i_begin, i_q).array().colwise() * sqrt_W.col(l).array(),
      |                                                               ~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:547:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from ‘class Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1>’
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:574:61:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  574 |             _mat.middleCols(i_begin, i_q).array().colwise() * sqrt_W.col(l).array(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:547:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:574:61:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  574 |             _mat.middleCols(i_begin, i_q).array().colwise() * sqrt_W.col(l).array(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:547:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:581:83:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  581 |         XTWX.template selfadjointView<Eigen::Lower>().rankUpdate(sqrt_WX.transpose());
      |                                                                  ~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:547:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:621:31:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  621 |     Out.noalias() = _mat.array().square().matrix().transpose() * W;
      |                     ~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:610:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:621:40:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  621 |     Out.noalias() = _mat.array().square().matrix().transpose() * W;
      |                     ~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:610:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:621:49:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  621 |     Out.noalias() = _mat.array().square().matrix().transpose() * W;
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:610:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:621:61:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  621 |     Out.noalias() = _mat.array().square().matrix().transpose() * W;
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:610:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:621:64:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  621 |     Out.noalias() = _mat.array().square().matrix().transpose() * W;
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:610:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   50 | class SparseMapBase<Derived,ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  148 | class SparseMapBase<Derived,WriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7:   required from ‘class Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >’
  222 | class Map<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:661:36:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::sp_tmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  661 |         Eigen::Map<sp_mat_value_t> _v(
      |                                    ^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:627:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:674:36:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::sp_tmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  674 |             out_k.col(l) = _out.row(k);
      |                            ~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:627:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:678:33:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::sp_tmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  678 |             _out.noalias() = _v * _mat.transpose();
      |                              ~~~^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:627:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:83:34:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   83 |     auto Out_l = Out.col(l).array();
      |                  ~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:70:1:   required from here
   10 |     MatrixNaiveKroneckerEye<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:113:45:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  113 |         auto Out_curr = Out.col(l-j).segment(i_begin, i_q);
      |                         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:89:1:   required from here
   10 |     MatrixNaiveKroneckerEye<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:169:37:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  169 |         dvveq(_v, V.col(l-j).segment(i_begin, i_q), _n_threads);
      |                   ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:152:1:   required from here
   10 |     MatrixNaiveKroneckerEye<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:33:50:   required from ‘typename adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   33 |     return ddot(_mat.col(j), (v * weights).matrix(), _n_threads, vbuff);
      |                              ~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:25:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:58:42:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   58 |     dvaddi(out, v * _mat.col(j).transpose().array(), _n_threads);
      |                     ~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:51:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:58:50:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   58 |     dvaddi(out, v * _mat.col(j).transpose().array(), _n_threads);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:51:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:58:19:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   58 |     dvaddi(out, v * _mat.col(j).transpose().array(), _n_threads);
      |                 ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:51:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:71:27:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   71 |     auto outm = out.matrix();
      |                 ~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:63:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:117:40:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  117 |         _mat.middleCols(j, q).transpose(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:108:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:177:65:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  177 |         const auto sqrt_w_mj = (_mat.col(j).transpose().array() * sqrt_weights).matrix();
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:164:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:177:87:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  177 |         const auto sqrt_w_mj = (_mat.col(j).transpose().array() * sqrt_weights).matrix();
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:164:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:186:29:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  186 |     auto Xj_array = Xj.array();
      |                     ~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:164:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:189:82:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  189 |         _mat.middleCols(j, q).array().colwise() * sqrt_weights.matrix().transpose().array(),
      |                                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:164:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:189:90:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  189 |         _mat.middleCols(j, q).array().colwise() * sqrt_weights.matrix().transpose().array(),
      |                                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:164:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from ‘class Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1>’
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:189:49:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  189 |         _mat.middleCols(j, q).array().colwise() * sqrt_weights.matrix().transpose().array(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:164:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:189:49:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  189 |         _mat.middleCols(j, q).array().colwise() * sqrt_weights.matrix().transpose().array(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:164:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseMatrix<double, 1>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::SparseMatrix<double, 1>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::SparseMatrix<double, 1>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::SparseMatrix<double, 1>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::SparseMatrix<double, 1>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::SparseMatrix<double, 1>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:230:27:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::sp_tmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  230 |         out.noalias() = v * _mat.transpose();
      |                         ~~^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:221:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:555:21:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluSparse<SparseType, MaskType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with SparseType = Eigen::SparseMatrix<double, 0, int>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  555 |     out.tail(m*d) = -out.head(m*d);
      |                     ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:543:1:   required from here
   19 |     MatrixNaiveConvexReluSparse<SparseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from ‘struct Eigen::internal::cast_return_type<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179:   required from ‘struct Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >::CastXpr<double>’
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of ‘template<class NewType> typename Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >::cast() const [with NewType = double]’
   62 | cast() const
      | ^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:603:92:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluSparse<SparseType, MaskType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with SparseType = Eigen::SparseMatrix<double, 0, int>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  603 |         const auto mask_1 = _mask.col(index_1_m).transpose().array().template cast<value_t>();
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:574:1:   required from here
   19 |     MatrixNaiveConvexReluSparse<SparseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:623:57:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluSparse<SparseType, MaskType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with SparseType = Eigen::SparseMatrix<double, 0, int>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  623 |                 ((1-2*index_1_sgn) * (1-2*index_2_sgn)) * sqrt_weights.square() * mask_1 * mask_2
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:574:1:   required from here
   19 |     MatrixNaiveConvexReluSparse<SparseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:623:81:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluSparse<SparseType, MaskType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with SparseType = Eigen::SparseMatrix<double, 0, int>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  623 |                 ((1-2*index_1_sgn) * (1-2*index_2_sgn)) * sqrt_weights.square() * mask_1 * mask_2
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:574:1:   required from here
   19 |     MatrixNaiveConvexReluSparse<SparseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:623:90:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluSparse<SparseType, MaskType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with SparseType = Eigen::SparseMatrix<double, 0, int>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  623 |                 ((1-2*index_1_sgn) * (1-2*index_2_sgn)) * sqrt_weights.square() * mask_1 * mask_2
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:574:1:   required from here
   19 |     MatrixNaiveConvexReluSparse<SparseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > > >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, Eigen::Sparse>’
   36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:644:77:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluSparse<SparseType, MaskType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with SparseType = Eigen::SparseMatrix<double, 0, int>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  644 |     Eigen::SparseMatrix<value_t, Eigen::ColMajor> mat_sq = _mat.cwiseProduct(_mat);
      |                                                            ~~~~~~~~~~~~~~~~~^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:637:1:   required from here
   19 |     MatrixNaiveConvexReluSparse<SparseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from ‘struct Eigen::internal::cast_return_type<Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179:   required from ‘struct Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >::CastXpr<double>’
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of ‘template<class NewType> typename Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >::cast() const [with NewType = double]’
   62 | cast() const
      | ^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:25:73:   required from ‘auto adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   25 |         _mat.col(j_d).cwiseProduct(_mask.col(j_m).template cast<value_t>()),
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:121:12:   required from ‘typename adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  121 |     return _cmul(j, v, weights, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:114:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:25:35:   required from ‘auto adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   25 |         _mat.col(j_d).cwiseProduct(_mask.col(j_m).template cast<value_t>()),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:121:12:   required from ‘typename adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  121 |     return _cmul(j, v, weights, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:114:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:199:30:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  199 |         auto Xv_m = Xv.matrix();
      |                     ~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:178:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:202:48:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  202 |             v.segment(n_processed, size).matrix(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:178:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:209:25:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  209 |             (1-2*k_sgn) * Xv * _mask.col(k_m).transpose().template cast<value_t>().array(),
      |             ~~~~~~~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:178:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from ‘struct Eigen::internal::cast_return_type<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179:   required from ‘struct Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >::CastXpr<double>’
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of ‘template<class NewType> typename Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >::cast() const [with NewType = double]’
   62 | cast() const
      | ^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:209:81:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  209 |             (1-2*k_sgn) * Xv * _mask.col(k_m).transpose().template cast<value_t>().array(),
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:178:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:209:89:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  209 |             (1-2*k_sgn) * Xv * _mask.col(k_m).transpose().template cast<value_t>().array(),
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:178:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:209:30:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  209 |             (1-2*k_sgn) * Xv * _mask.col(k_m).transpose().template cast<value_t>().array(),
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:178:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:289:44:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  289 |         auto curr_block = buffer.middleCols(n_processed, size).array();
      |                           ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:260:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:289:69:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  289 |         auto curr_block = buffer.middleCols(n_processed, size).array();
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:260:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:292:55:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  292 |             mask.template cast<value_t>().cwiseProduct(sqrt_weights.matrix().transpose()).array()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:260:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:292:96:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  292 |             mask.template cast<value_t>().cwiseProduct(sqrt_weights.matrix().transpose()).array()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:260:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from ‘class Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1>’
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:291:35:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  290 |         curr_block.array() = (1-2*k_sgn) * (
      |                                            ~
  291 |             mat.array().colwise() *
      |             ~~~~~~~~~~~~~~~~~~~~~~^
  292 |             mask.template cast<value_t>().cwiseProduct(sqrt_weights.matrix().transpose()).array()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  293 |         );
      |         ~                          
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:260:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:291:35:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  290 |         curr_block.array() = (1-2*k_sgn) * (
      |                                            ~
  291 |             mat.array().colwise() *
      |             ~~~~~~~~~~~~~~~~~~~~~~^
  292 |             mask.template cast<value_t>().cwiseProduct(sqrt_weights.matrix().transpose()).array()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  293 |         );
      |         ~                          
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:260:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:290:42:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  290 |         curr_block.array() = (1-2*k_sgn) * (
      |                              ~~~~~~~~~~~~^~~
  291 |             mat.array().colwise() *
      |             ~~~~~~~~~~~~~~~~~~~~~~~       
  292 |             mask.template cast<value_t>().cwiseProduct(sqrt_weights.matrix().transpose()).array()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  293 |         );
      |         ~                                 
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:260:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:290:42:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  290 |         curr_block.array() = (1-2*k_sgn) * (
      |                              ~~~~~~~~~~~~^~~
  291 |             mat.array().colwise() *
      |             ~~~~~~~~~~~~~~~~~~~~~~~       
  292 |             mask.template cast<value_t>().cwiseProduct(sqrt_weights.matrix().transpose()).array()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  293 |         );
      |         ~                                 
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:260:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_gated_relu.ipp:596:39:   required from ‘void adelie_core::matrix::MatrixNaiveConvexGatedReluSparse<SparseType, MaskType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with SparseType = Eigen::SparseMatrix<double, 0, int>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  596 |                 sqrt_weights.square() * mask_1 * mask_2
      |                 ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_gated_relu.ipp:552:1:   required from here
   19 |     MatrixNaiveConvexGatedReluSparse<SparseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_gated_relu.ipp:596:48:   required from ‘void adelie_core::matrix::MatrixNaiveConvexGatedReluSparse<SparseType, MaskType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with SparseType = Eigen::SparseMatrix<double, 0, int>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  596 |                 sqrt_weights.square() * mask_1 * mask_2
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_gated_relu.ipp:552:1:   required from here
   19 |     MatrixNaiveConvexGatedReluSparse<SparseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_gated_relu.ipp:199:16:   required from ‘void adelie_core::matrix::MatrixNaiveConvexGatedReluDense<DenseType, MaskType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  199 |             Xv * _mask.col(k_m).transpose().template cast<value_t>().array(),
      |             ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_gated_relu.ipp:171:1:   required from here
   10 |     MatrixNaiveConvexGatedReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.ipp:688:23:   required from ‘void adelie_core::matrix::MatrixNaiveRConcatenate<ValueType, IndexType>::sp_tmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t>) const [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  688 |         out.middleCols(outer_i, rows_curr) = out_curr;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.ipp:668:1:   required from here
   19 |     MatrixNaiveRConcatenate<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Block<const Eigen::SparseMatrix<double, 1>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7:   required from ‘class Eigen::BlockImpl<const Eigen::SparseMatrix<double, 1>, -1, -1, false, Eigen::Sparse>’
  333 | class BlockImpl<XprType,BlockRows,BlockCols,InnerPanel,Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::SparseMatrix<double, 1>, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.ipp:320:33:   required from ‘void adelie_core::matrix::MatrixNaiveCConcatenate<ValueType, IndexType>::sp_tmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t>) const [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  320 |         mat.sp_tmul(v.middleCols(n_processed, q_curr), buff);
      |                     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.ipp:306:1:   required from here
   10 |     MatrixNaiveCConcatenate<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_block_diag.ipp:317:18:   required from ‘void adelie_core::matrix::MatrixNaiveBlockDiag<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) const [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  317 |         out.block(n_processed, n_processed, size, size) = out_curr;
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_block_diag.ipp:296:1:   required from here
   10 |     MatrixNaiveBlockDiag<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7:   required from ‘class Eigen::BlockImpl<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, -1, false, Eigen::Sparse>’
  333 | class BlockImpl<XprType,BlockRows,BlockCols,InnerPanel,Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_sparse.ipp:82:21:   required from ‘void adelie_core::matrix::MatrixCovSparse<SparseType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with SparseType = Eigen::SparseMatrix<double, 0, int>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   82 |     out = _mat.block(i, i, p, p);
      |           ~~~~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_sparse.ipp:76:1:   required from here
   10 |     MatrixCovSparse<SparseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:142:37:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  142 |             dvaddi(out, XTXv_m.array(), _n_threads);
      |                         ~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:103:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:149:32:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  149 |         dvaddi(out, v * mat.row(i_rel).array(), _n_threads);
      |                         ~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:103:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:149:45:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  149 |         dvaddi(out, v * mat.row(i_rel).array(), _n_threads);
      |                         ~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:103:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:149:23:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  149 |         dvaddi(out, v * mat.row(i_rel).array(), _n_threads);
      |                     ~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:103:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:170:40:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  170 |             auto out_m = out.middleCols(n_processed, block_size);
      |                          ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:156:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:171:51:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  171 |             out_m.noalias() = X_block.transpose() * Xk;
      |                               ~~~~~~~~~~~~~~~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:156:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:178:54:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  178 |         out.middleCols(n_processed, size) = mat.block(k_rel, i, size, p).transpose();
      |                                             ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:156:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:178:83:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  178 |         out.middleCols(n_processed, size) = mat.block(k_rel, i, size, p).transpose();
      |                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:156:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.ipp:61:46:   required from ‘void adelie_core::matrix::MatrixCovDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   61 |             dvaddi(out, v * _mat.col(i).array(), _n_threads);
      |                             ~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.ipp:47:1:   required from here
   10 |     MatrixCovDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.ipp:61:27:   required from ‘void adelie_core::matrix::MatrixCovDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   61 |             dvaddi(out, v * _mat.col(i).array(), _n_threads);
      |                         ~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.ipp:47:1:   required from here
   10 |     MatrixCovDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.ipp:61:27:   required from ‘void adelie_core::matrix::MatrixCovDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   61 |             dvaddi(out, v * _mat.col(i).array(), _n_threads);
      |                         ~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.ipp:47:1:   required from here
   10 |     MatrixCovDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.ipp:74:21:   required from ‘void adelie_core::matrix::MatrixCovDense<DenseType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   74 |     out = _mat.block(i, i, p, p);
      |           ~~~~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.ipp:68:1:   required from here
   10 |     MatrixCovDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
  288 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
      |                                                                                                     ^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.ipp:74:9:   required from ‘void adelie_core::matrix::MatrixCovDense<DenseType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   74 |     out = _mat.block(i, i, p, p);
      |     ~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.ipp:68:1:   required from here
   10 |     MatrixCovDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7:   required from ‘class Eigen::BlockImpl<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 1, -1, true, Eigen::Sparse>’
   17 | class BlockImpl<XprType,BlockRows,BlockCols,true,Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_sparse.ipp:34:28:   required from ‘void adelie_core::matrix::MatrixConstraintSparse<SparseType, IndexType>::rmmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with SparseType = Eigen::SparseMatrix<double, 1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   34 |     out.matrix() = _mat.row(j) * Q;
      |                    ~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_sparse.ipp:28:1:   required from here
   10 |     MatrixConstraintSparse<SparseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_sparse.ipp:34:32:   required from ‘void adelie_core::matrix::MatrixConstraintSparse<SparseType, IndexType>::rmmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with SparseType = Eigen::SparseMatrix<double, 1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   34 |     out.matrix() = _mat.row(j) * Q;
      |                    ~~~~~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_sparse.ipp:28:1:   required from here
   10 |     MatrixConstraintSparse<SparseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59:   required from ‘struct Eigen::EigenBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> > >’
   42 |   typedef typename internal::traits<Derived>::StorageKind StorageKind;
      |                                                           ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:26:34:   required from ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> > >’
   26 | template<typename Derived> class SparseMatrixBase
      |                                  ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Sparse>’
   36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_sparse.ipp:76:23:   required from ‘void adelie_core::matrix::MatrixConstraintSparse<SparseType, IndexType>::rvtmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with SparseType = Eigen::SparseMatrix<double, 1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixConstraintBase<double, int>; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   76 |     out.matrix() += v * _mat.row(j);
      |                     ~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_sparse.ipp:70:1:   required from here
   10 |     MatrixConstraintSparse<SparseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> > >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Sparse>’
   36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_sparse.ipp:76:23:   required from ‘void adelie_core::matrix::MatrixConstraintSparse<SparseType, IndexType>::rvtmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with SparseType = Eigen::SparseMatrix<double, 1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixConstraintBase<double, int>; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   76 |     out.matrix() += v * _mat.row(j);
      |                     ~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_sparse.ipp:70:1:   required from here
   10 |     MatrixConstraintSparse<SparseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, -1>’
  178 | class Matrix
      |       ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_sparse.ipp:76:18:   required from ‘void adelie_core::matrix::MatrixConstraintSparse<SparseType, IndexType>::rvtmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with SparseType = Eigen::SparseMatrix<double, 1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixConstraintBase<double, int>; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   76 |     out.matrix() += v * _mat.row(j);
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_sparse.ipp:70:1:   required from here
   10 |     MatrixConstraintSparse<SparseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_sparse.ipp:86:31:   required from ‘void adelie_core::matrix::MatrixConstraintSparse<SparseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with SparseType = Eigen::SparseMatrix<double, 1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   86 |     out.matrix() = v.matrix() * _mat;
      |                    ~~~~~~~~~~~^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_sparse.ipp:81:1:   required from here
   10 |     MatrixConstraintSparse<SparseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_sparse.ipp:109:26:   required from ‘void adelie_core::matrix::MatrixConstraintSparse<SparseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with SparseType = Eigen::SparseMatrix<double, 1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  109 |     out.noalias() = _mat * Q * _mat.transpose();
      |                     ~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_sparse.ipp:104:1:   required from here
   10 |     MatrixConstraintSparse<SparseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > > >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > > >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from ‘class Eigen::internal::SparseTransposeImpl<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 1024>’
   22 |   class SparseTransposeImpl<MatrixType,CompressedAccessBit>
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Sparse>’
   45 | template<typename MatrixType> class TransposeImpl<MatrixType,Sparse>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_sparse.ipp:109:46:   required from ‘void adelie_core::matrix::MatrixConstraintSparse<SparseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with SparseType = Eigen::SparseMatrix<double, 1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  109 |     out.noalias() = _mat * Q * _mat.transpose();
      |                                ~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_sparse.ipp:104:1:   required from here
   10 |     MatrixConstraintSparse<SparseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_sparse.ipp:109:30:   required from ‘void adelie_core::matrix::MatrixConstraintSparse<SparseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with SparseType = Eigen::SparseMatrix<double, 1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  109 |     out.noalias() = _mat * Q * _mat.transpose();
      |                     ~~~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_sparse.ipp:104:1:   required from here
   10 |     MatrixConstraintSparse<SparseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:29:28:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::rmmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   29 |     out.matrix() = _mat.row(j) * Q;
      |                    ~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:23:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:29:32:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::rmmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   29 |     out.matrix() = _mat.row(j) * Q;
      |                    ~~~~~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:23:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:71:23:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::rvtmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixConstraintBase<double, int>; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   71 |     out.matrix() += v * _mat.row(j);
      |                     ~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:65:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:106:23:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::tmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  106 |         _mat.transpose(),
      |         ~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:96:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:26:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |                     ~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:30:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |                     ~~~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:500:44:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  500 |             const auto sqrt_w_mi = (sqrt_w * mi).matrix();
      |                                    ~~~~~~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:468:1:   required from here
   10 |     MatrixNaiveOneHotDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:500:56:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  500 |             const auto sqrt_w_mi = (sqrt_w * mi).matrix();
      |                                    ~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:468:1:   required from here
   10 |     MatrixNaiveOneHotDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:703:52:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  703 |             out(0, 0) = ddot(w.matrix(), mi0.square().matrix(), _n_threads, buff);
      |                                          ~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:663:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:703:61:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  703 |             out(0, 0) = ddot(w.matrix(), mi0.square().matrix(), _n_threads, buff);
      |                                          ~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:663:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:704:47:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  704 |             out(1, 0) = ddot(w.matrix(), (mi0 * mi1).matrix(), _n_threads, buff);
      |                                          ~~~~~^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:663:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:704:60:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  704 |             out(1, 0) = ddot(w.matrix(), (mi0 * mi1).matrix(), _n_threads, buff);
      |                                          ~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:663:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:706:56:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  706 |             out(2, 0) = ddot(w.matrix(), (mi0.square() * mi1).matrix(), _n_threads, buff);
      |                                          ~~~~~~~~~~~~~~^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:663:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:706:69:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  706 |             out(2, 0) = ddot(w.matrix(), (mi0.square() * mi1).matrix(), _n_threads, buff);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:663:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:708:60:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  708 |             out(2, 2) = ddot(w.matrix(), (mi0 * mi1).square().matrix(), _n_threads, buff);
      |                                          ~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:663:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:708:69:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  708 |             out(2, 2) = ddot(w.matrix(), (mi0 * mi1).square().matrix(), _n_threads, buff);
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:663:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:731:28:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  731 |             out_12.diagonal() = out_21.diagonal();
      |             ~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:663:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:29:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; X2Type = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:49:28:   required from ‘typename adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   49 |         (c == 0) ? 0 : ddot(v.matrix(), weights.matrix(), _n_threads, _buff)
      |                        ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:40:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:55)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:55)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:55)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:55)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:55)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:55)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:55)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:67:46:   required from ‘void adelie_core::matrix::dvsubi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseNullaryOp<MatrixNaiveStandardize<double, int>::ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:55)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
   67 |         x1.segment(begin, size) -= x2.segment(begin, size);
      |                                    ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:84:11:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   84 |     dvsubi(
      |     ~~~~~~^
   85 |         out,
      |         ~~~~
   86 |         vec_value_t::NullaryExpr(out.size(), [&](auto) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   87 |             return vsc;
      |             ~~~~~~~~~~~
   88 |         }),
      |         ~~~
   89 |         _n_threads
      |         ~~~~~~~~~~
   90 |     );
      |     ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:73:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50:   required from ‘bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   84 |           && SizeAtCompileTime * (int(Evaluator::CoeffReadCost) + int(NumTraits<Scalar>::AddCost)) <= EIGEN_UNROLLING_LIMIT
      |                                                  ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:106:21:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  106 |         (c == 0).all() ? 0 : ddot(v.matrix(), weights.matrix(), _n_threads, _buff)
      |         ~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:95:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:97:45:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’
   97 |         x1.segment(begin, size) = x2.segment(begin, size);
      |                                   ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:109:10:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  109 |     dvveq(out, (out - vw_sum * c) / s, _n_threads);
      |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:95:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:97:19:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’
   97 |         x1.segment(begin, size) = x2.segment(begin, size);
      |         ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:143:10:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  143 |     dvveq(vs, v / s, _n_threads);
      |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:134:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:97:45:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’
   97 |         x1.segment(begin, size) = x2.segment(begin, size);
      |                                   ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:143:10:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  143 |     dvveq(vs, v / s, _n_threads);
      |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:134:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:29:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; X2Type = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; BuffType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:147:26:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  147 |     const auto vsc = ddot(
      |                      ~~~~^
  148 |         _centers.segment(j, q).matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  149 |         vs.matrix(),
      |         ~~~~~~~~~~~~      
  150 |         _n_threads,
      |         ~~~~~~~~~~~       
  151 |         buff
      |         ~~~~              
  152 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:134:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:57:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; X2Type = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; BuffType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                                               ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:147:26:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  147 |     const auto vsc = ddot(
      |                      ~~~~^
  148 |         _centers.segment(j, q).matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  149 |         vs.matrix(),
      |         ~~~~~~~~~~~~      
  150 |         _n_threads,
      |         ~~~~~~~~~~~       
  151 |         buff
      |         ~~~~              
  152 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:134:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::btmul(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:56)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::btmul(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:56)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::btmul(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:56)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::btmul(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:56)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::btmul(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:56)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::btmul(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:56)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::btmul(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:56)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:67:46:   required from ‘void adelie_core::matrix::dvsubi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseNullaryOp<MatrixNaiveStandardize<double, int>::btmul(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:56)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
   67 |         x1.segment(begin, size) -= x2.segment(begin, size);
      |                                    ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:154:11:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  154 |     dvsubi(
      |     ~~~~~~^
  155 |         out,
      |         ~~~~
  156 |         vec_value_t::NullaryExpr(out.size(), [&](auto) { return vsc; }),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  157 |         _n_threads
      |         ~~~~~~~~~~
  158 |     );
      |     ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:134:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:97:45:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’
   97 |         x1.segment(begin, size) = x2.segment(begin, size);
      |                                   ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:172:10:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) const [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  172 |     dvveq(out, (out - vw_sum * _centers) / _scales, _n_threads);
      |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:163:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   required from ‘struct Eigen::internal::blas_traits<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
  506 |     >::type DirectLinearAccessType;
      |             ^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:70:56:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; DerivedV = Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’
   70 |   typedef typename VBlasTraits::DirectLinearAccessType ActualVType;
      |                                                        ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:212:29:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) const [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  212 |         out_lower.rankUpdate(centers.matrix().transpose(), means.matrix().transpose(), -1);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:191:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Replicate<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, -1, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from ‘class Eigen::Replicate<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, -1, 1>’
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:627:29:   required from ‘ExpressionType& Eigen::VectorwiseOp<ExpressionType, Direction>::operator/=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; ExpressionType = Eigen::ArrayWrapper<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >; int Direction = 1]’
  627 |       m_matrix /= extendedTo(other.derived());
      |                   ~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:217:27:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) const [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  217 |     out.array().rowwise() /= scales;
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:191:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >, 1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >, 1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from ‘class Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >, 1, -1>’
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:627:29:   required from ‘ExpressionType& Eigen::VectorwiseOp<ExpressionType, Direction>::operator/=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; ExpressionType = Eigen::ArrayWrapper<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >; int Direction = 0]’
  627 |       m_matrix /= extendedTo(other.derived());
      |                   ~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:218:27:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) const [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  218 |     out.array().colwise() /= scales.matrix().transpose().array();
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:191:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:97:45:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; size_t = long unsigned int]’
   97 |         x1.segment(begin, size) = x2.segment(begin, size);
      |                                   ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:233:10:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) const [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  233 |     dvveq(out, (out - 2 * _centers * mat_means + w_sum * _centers.square()) / _scales.square(), _n_threads);
      |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:223:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:267:29:   required from ‘adelie_core::matrix::MatrixNaiveStandardize<double, int>::sp_tmul(const adelie_core::matrix::MatrixNaiveBase<double, int>::sp_mat_value_t&, Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >) const::<lambda(auto:57)> [with auto:57 = long int]’
  267 |         if (vsc) out_k.array() -= vsc;
      |                  ~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveStandardize<double, int>::sp_tmul(const adelie_core::matrix::MatrixNaiveBase<double, int>::sp_mat_value_t&, Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >) const::<lambda(auto:57)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:269:27:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::sp_tmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t>) const [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  269 |     util::omp_parallel_for(routine, 0, v.outerSize(), _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:238:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >, 2> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from ‘class Eigen::ProductImpl<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >, 2, Eigen::Sparse>’
  145 | class ProductImpl : public internal::generic_xpr_base<Product<Lhs,Rhs,Option>, MatrixXpr, StorageKind>::type
      |       ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >, 2>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.ipp:284:15:   required from ‘adelie_core::matrix::MatrixNaiveSparse<Eigen::SparseMatrix<double, 0, int>, int>::sp_tmul(const adelie_core::matrix::MatrixNaiveBase<double, int>::sp_mat_value_t&, Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >) const::<lambda(auto:54)> [with auto:54 = long int]’
  284 |         out_k = vk * _mat.transpose();
      |         ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveSparse<Eigen::SparseMatrix<double, 0, int>, int>::sp_tmul(const adelie_core::matrix::MatrixNaiveBase<double, int>::sp_mat_value_t&, Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >) const::<lambda(auto:54)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.ipp:286:27:   required from ‘void adelie_core::matrix::MatrixNaiveSparse<SparseType, IndexType>::sp_tmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with SparseType = Eigen::SparseMatrix<double, 0, int>; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  286 |     util::omp_parallel_for(routine, 0, v.outerSize(), _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.ipp:262:1:   required from here
   10 |     MatrixNaiveSparse<SparseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1, 1, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1, 1, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1, 1, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, -1, 1, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, -1, 1, -1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49:   required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   24 |                              ? PlainObjectType::ColsAtCompileTime
      |                                                 ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from ‘class Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >’
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:873:32:   required from ‘void adelie_core::matrix::snp_phased_ancestry_block_dot(const IOType&, int, int, const VType&, OutType&, size_t, BuffType&) [with IOType = adelie_core::io::IOSNPPhasedAncestry<std::shared_ptr<char> >; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; OutType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
  873 |     Eigen::Map<rowarr_value_t> mbuff(
      |                                ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.ipp:118:34:   required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry<ValueType, MmapPtrType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr<char>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  118 |     snp_phased_ancestry_block_dot(
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  119 |         _io, j, q, v * weights, out, _n_threads, _buff
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  120 |     );
      |     ~                             
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.ipp:109:1:   required from here
   14 |     MatrixNaiveSNPPhasedAncestry<ValueType, MmapPtrType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:873:32:   required from ‘void adelie_core::matrix::snp_phased_ancestry_block_dot(const IOType&, int, int, const VType&, OutType&, size_t, BuffType&) [with IOType = adelie_core::io::IOSNPPhasedAncestry<std::shared_ptr<char> >; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; OutType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
  873 |     Eigen::Map<rowarr_value_t> mbuff(
      |                                ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.ipp:118:34:   required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry<ValueType, MmapPtrType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr<char>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  118 |     snp_phased_ancestry_block_dot(
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  119 |         _io, j, q, v * weights, out, _n_threads, _buff
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  120 |     );
      |     ~                             
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.ipp:109:1:   required from here
   14 |     MatrixNaiveSNPPhasedAncestry<ValueType, MmapPtrType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::PartialReduxExpr<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 1>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:913:30:   required from ‘void adelie_core::matrix::snp_phased_ancestry_block_dot(const IOType&, int, int, const VType&, OutType&, size_t, BuffType&) [with IOType = adelie_core::io::IOSNPPhasedAncestry<std::shared_ptr<char> >; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; OutType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
  913 |     out = mbuff.rowwise().sum();
      |           ~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.ipp:118:34:   required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry<ValueType, MmapPtrType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr<char>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  118 |     snp_phased_ancestry_block_dot(
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  119 |         _io, j, q, v * weights, out, _n_threads, _buff
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  120 |     );
      |     ~                             
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.ipp:109:1:   required from here
   14 |     MatrixNaiveSNPPhasedAncestry<ValueType, MmapPtrType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:29:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:379:16:   required from ‘auto adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  379 |     return ddot(V.col(l).cwiseProduct(W.col(l)), _mat.col(i), _n_threads, vbuff);
      |            ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:441:12:   required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  441 |     return _cmul(j, v, weights, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:434:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:57:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                                               ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:379:16:   required from ‘auto adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  379 |     return ddot(V.col(l).cwiseProduct(W.col(l)), _mat.col(i), _n_threads, vbuff);
      |            ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:441:12:   required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  441 |     return _cmul(j, v, weights, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:434:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:160:21:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’
  160 |     return buff.head(n_blocks).sum();
      |            ~~~~~~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:379:16:   required from ‘auto adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  379 |     return ddot(V.col(l).cwiseProduct(W.col(l)), _mat.col(i), _n_threads, vbuff);
      |            ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:441:12:   required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  441 |     return _cmul(j, v, weights, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:434:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:37:46:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’
   37 |         x1.segment(begin, size) += x2.segment(begin, size);
      |                                    ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:470:11:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  470 |     dvaddi(_out, v * _mat.col(i), _n_threads);
      |     ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:459:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:400:58:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  400 |         auto _out = out.segment(n_processed, size).matrix();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:483:5:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  483 |     _bmul(j, q, v, weights, out, _vbuff, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:475:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:402:26:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  402 |             VW.middleCols(l, size),
      |             ~~~~~~~~~~~~~^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:483:5:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  483 |     _bmul(j, q, v, weights, out, _vbuff, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:475:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:97:45:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Array<double, 1, -1, 1, 1, -1>; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
   97 |         x1.segment(begin, size) = x2.segment(begin, size);
      |                                   ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:534:10:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  534 |     dvveq(vbuff, v * weights, _n_threads);
      |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:527:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:190:22:   required from ‘void adelie_core::matrix::dmmeq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >; size_t = long unsigned int]’
  190 |         x1.middleRows(begin, size) = x2.middleRows(begin, size);
      |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:572:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  572 |         dmmeq(
      |         ~~~~~^
  573 |             sqrt_WX_array,
      |             ~~~~~~~~~~~~~~
  574 |             _mat.middleCols(i_begin, i_q).array().colwise() * sqrt_W.col(l).array(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  575 |             _n_threads
      |             ~~~~~~~~~~
  576 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:547:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:190:51:   required from ‘void adelie_core::matrix::dmmeq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >; size_t = long unsigned int]’
  190 |         x1.middleRows(begin, size) = x2.middleRows(begin, size);
      |                                      ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:572:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  572 |         dmmeq(
      |         ~~~~~^
  573 |             sqrt_WX_array,
      |             ~~~~~~~~~~~~~~
  574 |             _mat.middleCols(i_begin, i_q).array().colwise() * sqrt_W.col(l).array(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  575 |             _n_threads
      |             ~~~~~~~~~~
  576 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:547:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:696:19:   required from ‘adelie_core::matrix::MatrixNaiveKroneckerEyeDense<Eigen::Matrix<double, -1, -1>, int>::sp_tmul(const adelie_core::matrix::MatrixNaiveBase<double, int>::sp_mat_value_t&, Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >) const::<lambda(auto:40)> [with auto:40 = long int]’
  696 |             out_k = vk * _mat.transpose();
      |             ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveKroneckerEyeDense<Eigen::Matrix<double, -1, -1>, int>::sp_tmul(const adelie_core::matrix::MatrixNaiveBase<double, int>::sp_mat_value_t&, Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >) const::<lambda(auto:40)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:699:31:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::sp_tmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  699 |         util::omp_parallel_for(sroutine, 0, _v.outerSize(), _n_threads);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:627:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:37:19:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’
   37 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:84:11:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   84 |     dvaddi(Out_l, _out, _n_threads);
      |     ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:70:1:   required from here
   10 |     MatrixNaiveKroneckerEye<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:37:46:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’
   37 |         x1.segment(begin, size) += x2.segment(begin, size);
      |                                    ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:84:11:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   84 |     dvaddi(Out_l, _out, _n_threads);
      |     ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:70:1:   required from here
   10 |     MatrixNaiveKroneckerEye<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:97:19:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::VectorBlock<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>; X2Type = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’
   97 |         x1.segment(begin, size) = x2.segment(begin, size);
      |         ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:114:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  114 |         dvveq(Out_curr, _out, _n_threads);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:89:1:   required from here
   10 |     MatrixNaiveKroneckerEye<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:97:45:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; X2Type = Eigen::VectorBlock<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>; size_t = long unsigned int]’
   97 |         x1.segment(begin, size) = x2.segment(begin, size);
      |                                   ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:169:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  169 |         dvveq(_v, V.col(l-j).segment(i_begin, i_q), _n_threads);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:152:1:   required from here
   10 |     MatrixNaiveKroneckerEye<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > > >’
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:282:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >’
  282 | struct evaluator<Map<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97:   required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Options = 1; _StorageIndex = int]’
  687 |       const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator<OtherDerived>::Flags & RowMajorBit);
      |                                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:324:23:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::sp_tmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t>) const [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  324 |         _mat->sp_tmul(_v, _out);
      |                       ^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:281:1:   required from here
   10 |     MatrixNaiveKroneckerEye<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:57:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                                               ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:33:16:   required from ‘typename adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   33 |     return ddot(_mat.col(j), (v * weights).matrix(), _n_threads, vbuff);
      |            ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:25:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:37:46:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; size_t = long unsigned int]’
   37 |         x1.segment(begin, size) += x2.segment(begin, size);
      |                                    ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:58:11:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   58 |     dvaddi(out, v * _mat.col(j).transpose().array(), _n_threads);
      |     ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:51:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:21:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  217 |             out = v * m;
      |                   ~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:73:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |     dgemv(
      |     ~~~~~^
   74 |         _mat.middleCols(j, q),
      |         ~~~~~~~~~~~~~~~~~~~~~~
   75 |         _vbuff.matrix(),
      |         ~~~~~~~~~~~~~~~~
   76 |         _n_threads,
      |         ~~~~~~~~~~~
   77 |         _buff,
      |         ~~~~~~
   78 |         outm
      |         ~~~~
   79 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:63:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:28:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:73:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |     dgemv(
      |     ~~~~~^
   74 |         _mat.middleCols(j, q),
      |         ~~~~~~~~~~~~~~~~~~~~~~
   75 |         _vbuff.matrix(),
      |         ~~~~~~~~~~~~~~~~
   76 |         _n_threads,
      |         ~~~~~~~~~~~
   77 |         _buff,
      |         ~~~~~~
   78 |         outm
      |         ~~~~
   79 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:63:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:60:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                                                ~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:73:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |     dgemv(
      |     ~~~~~^
   74 |         _mat.middleCols(j, q),
      |         ~~~~~~~~~~~~~~~~~~~~~~
   75 |         _vbuff.matrix(),
      |         ~~~~~~~~~~~~~~~~
   76 |         _n_threads,
      |         ~~~~~~~~~~~
   77 |         _buff,
      |         ~~~~~~
   78 |         outm
      |         ~~~~
   79 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:63:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:46:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                                            ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:73:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |     dgemv(
      |     ~~~~~^
   74 |         _mat.middleCols(j, q),
      |         ~~~~~~~~~~~~~~~~~~~~~~
   75 |         _vbuff.matrix(),
      |         ~~~~~~~~~~~~~~~~
   76 |         _n_threads,
      |         ~~~~~~~~~~~
   77 |         _buff,
      |         ~~~~~~
   78 |         outm
      |         ~~~~
   79 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:63:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:29:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:73:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |     dgemv(
      |     ~~~~~^
   74 |         _mat.middleCols(j, q),
      |         ~~~~~~~~~~~~~~~~~~~~~~
   75 |         _vbuff.matrix(),
      |         ~~~~~~~~~~~~~~~~
   76 |         _n_threads,
      |         ~~~~~~~~~~~
   77 |         _buff,
      |         ~~~~~~
   78 |         outm
      |         ~~~~
   79 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:63:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:258:26:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:73:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |     dgemv(
      |     ~~~~~^
   74 |         _mat.middleCols(j, q),
      |         ~~~~~~~~~~~~~~~~~~~~~~
   75 |         _vbuff.matrix(),
      |         ~~~~~~~~~~~~~~~~
   76 |         _n_threads,
      |         ~~~~~~~~~~~
   77 |         _buff,
      |         ~~~~~~
   78 |         outm
      |         ~~~~
   79 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:63:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:258:54:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                                          ~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:73:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |     dgemv(
      |     ~~~~~^
   74 |         _mat.middleCols(j, q),
      |         ~~~~~~~~~~~~~~~~~~~~~~
   75 |         _vbuff.matrix(),
      |         ~~~~~~~~~~~~~~~~
   76 |         _n_threads,
      |         ~~~~~~~~~~~
   77 |         _buff,
      |         ~~~~~~
   78 |         outm
      |         ~~~~
   79 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:63:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:258:40:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |                                   ~     
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                           
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:73:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |     dgemv(
      |     ~~~~~^
   74 |         _mat.middleCols(j, q),
      |         ~~~~~~~~~~~~~~~~~~~~~~
   75 |         _vbuff.matrix(),
      |         ~~~~~~~~~~~~~~~~
   76 |         _n_threads,
      |         ~~~~~~~~~~~
   77 |         _buff,
      |         ~~~~~~
   78 |         outm
      |         ~~~~
   79 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:63:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:262:29:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  262 |             out = buff.block(0, 0, n_blocks, p).colwise().sum();
      |                   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:73:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |     dgemv(
      |     ~~~~~^
   74 |         _mat.middleCols(j, q),
      |         ~~~~~~~~~~~~~~~~~~~~~~
   75 |         _vbuff.matrix(),
      |         ~~~~~~~~~~~~~~~~
   76 |         _n_threads,
      |         ~~~~~~~~~~~
   77 |         _buff,
      |         ~~~~~~
   78 |         outm
      |         ~~~~
   79 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:63:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:262:62:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  262 |             out = buff.block(0, 0, n_blocks, p).colwise().sum();
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:73:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |     dgemv(
      |     ~~~~~^
   74 |         _mat.middleCols(j, q),
      |         ~~~~~~~~~~~~~~~~~~~~~~
   75 |         _vbuff.matrix(),
      |         ~~~~~~~~~~~~~~~~
   76 |         _n_threads,
      |         ~~~~~~~~~~~
   77 |         _buff,
      |         ~~~~~~
   78 |         outm
      |         ~~~~
   79 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:63:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:219:22:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  219 |             out += v * m;
      |                    ~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:116:37:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  116 |     dgemv<util::operator_type::_add>(
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  117 |         _mat.middleCols(j, q).transpose(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  118 |         v.matrix(),
      |         ~~~~~~~~~~~                  
  119 |         _n_threads,
      |         ~~~~~~~~~~~                  
  120 |         _buff,
      |         ~~~~~~                       
  121 |         outm
      |         ~~~~                         
  122 |     );
      |     ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:108:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:241:61:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  241 |                 out.segment(begin, size) += v * m.middleCols(begin, size);
      |                                                 ~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:116:37:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  116 |     dgemv<util::operator_type::_add>(
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  117 |         _mat.middleCols(j, q).transpose(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  118 |         v.matrix(),
      |         ~~~~~~~~~~~                  
  119 |         _n_threads,
      |         ~~~~~~~~~~~                  
  120 |         _buff,
      |         ~~~~~~                       
  121 |         outm
      |         ~~~~                         
  122 |     );
      |     ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:108:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:241:47:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  241 |                 out.segment(begin, size) += v * m.middleCols(begin, size);
      |                                             ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:116:37:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  116 |     dgemv<util::operator_type::_add>(
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  117 |         _mat.middleCols(j, q).transpose(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  118 |         v.matrix(),
      |         ~~~~~~~~~~~                  
  119 |         _n_threads,
      |         ~~~~~~~~~~~                  
  120 |         _buff,
      |         ~~~~~~                       
  121 |         outm
      |         ~~~~                         
  122 |     );
      |     ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:108:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:258:54:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                                          ~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:116:37:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  116 |     dgemv<util::operator_type::_add>(
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  117 |         _mat.middleCols(j, q).transpose(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  118 |         v.matrix(),
      |         ~~~~~~~~~~~                  
  119 |         _n_threads,
      |         ~~~~~~~~~~~                  
  120 |         _buff,
      |         ~~~~~~                       
  121 |         outm
      |         ~~~~                         
  122 |     );
      |     ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:108:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:258:40:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |                                   ~     
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                           
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:116:37:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  116 |     dgemv<util::operator_type::_add>(
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  117 |         _mat.middleCols(j, q).transpose(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  118 |         v.matrix(),
      |         ~~~~~~~~~~~                  
  119 |         _n_threads,
      |         ~~~~~~~~~~~                  
  120 |         _buff,
      |         ~~~~~~                       
  121 |         outm
      |         ~~~~                         
  122 |     );
      |     ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:108:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:21:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  217 |             out = v * m;
      |                   ~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:139:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  139 |     dgemv(
      |     ~~~~~^
  140 |         _mat,
      |         ~~~~~
  141 |         vbuff.matrix(),
      |         ~~~~~~~~~~~~~~~
  142 |         _n_threads,
      |         ~~~~~~~~~~~
  143 |         buff,
      |         ~~~~~
  144 |         out_m
      |         ~~~~~
  145 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:127:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:258:40:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |                                   ~     
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                           
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:139:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  139 |     dgemv(
      |     ~~~~~^
  140 |         _mat,
      |         ~~~~~
  141 |         vbuff.matrix(),
      |         ~~~~~~~~~~~~~~~
  142 |         _n_threads,
      |         ~~~~~~~~~~~
  143 |         buff,
      |         ~~~~~
  144 |         out_m
      |         ~~~~~
  145 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:127:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:29:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:179:25:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  179 |         out(0, 0) = ddot(sqrt_w_mj, sqrt_w_mj, _n_threads, vbuff);
      |                     ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:164:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:190:22:   required from ‘void adelie_core::matrix::dmmeq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >; size_t = long unsigned int]’
  190 |         x1.middleRows(begin, size) = x2.middleRows(begin, size);
      |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:187:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  187 |     dmmeq(
      |     ~~~~~^
  188 |         Xj_array,
      |         ~~~~~~~~~
  189 |         _mat.middleCols(j, q).array().colwise() * sqrt_weights.matrix().transpose().array(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  190 |         _n_threads
      |         ~~~~~~~~~~
  191 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:164:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >, -1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >, -1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:190:51:   required from ‘void adelie_core::matrix::dmmeq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >; size_t = long unsigned int]’
  190 |         x1.middleRows(begin, size) = x2.middleRows(begin, size);
      |                                      ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:187:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  187 |     dmmeq(
      |     ~~~~~^
  188 |         Xj_array,
      |         ~~~~~~~~~
  189 |         _mat.middleCols(j, q).array().colwise() * sqrt_weights.matrix().transpose().array(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  190 |         _n_threads
      |         ~~~~~~~~~~
  191 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:164:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:21:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  217 |             out = v * m;
      |                   ~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:210:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  210 |     dgemv(
      |     ~~~~~^
  211 |         _mat.array().square().matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  212 |         weights.matrix(),
      |         ~~~~~~~~~~~~~~~~~
  213 |         _n_threads,
      |         ~~~~~~~~~~~
  214 |         buff,
      |         ~~~~~
  215 |         out_m
      |         ~~~~~
  216 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:201:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:60:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                                                ~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:210:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  210 |     dgemv(
      |     ~~~~~^
  211 |         _mat.array().square().matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  212 |         weights.matrix(),
      |         ~~~~~~~~~~~~~~~~~
  213 |         _n_threads,
      |         ~~~~~~~~~~~
  214 |         buff,
      |         ~~~~~
  215 |         out_m
      |         ~~~~~
  216 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:201:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:46:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                                            ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:210:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  210 |     dgemv(
      |     ~~~~~^
  211 |         _mat.array().square().matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  212 |         weights.matrix(),
      |         ~~~~~~~~~~~~~~~~~
  213 |         _n_threads,
      |         ~~~~~~~~~~~
  214 |         buff,
      |         ~~~~~
  215 |         out_m
      |         ~~~~~
  216 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:201:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:258:54:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                                          ~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:210:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  210 |     dgemv(
      |     ~~~~~^
  211 |         _mat.array().square().matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  212 |         weights.matrix(),
      |         ~~~~~~~~~~~~~~~~~
  213 |         _n_threads,
      |         ~~~~~~~~~~~
  214 |         buff,
      |         ~~~~~
  215 |         out_m
      |         ~~~~~
  216 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:201:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:258:40:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |                                   ~     
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                           
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:210:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  210 |     dgemv(
      |     ~~~~~^
  211 |         _mat.array().square().matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  212 |         weights.matrix(),
      |         ~~~~~~~~~~~~~~~~~
  213 |         _n_threads,
      |         ~~~~~~~~~~~
  214 |         buff,
      |         ~~~~~
  215 |         out_m
      |         ~~~~~
  216 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:201:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:380:22:   required from ‘typename adelie_core::matrix::MatrixNaiveConvexReluSparse<SparseType, MaskType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveConvexReluSparse<SparseType, MaskType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with SparseType = Eigen::SparseMatrix<double, 0, int>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  380 |         (v * weights * _mask.col(j_m).transpose().array().template cast<value_t>()),
      |         ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:472:12:   required from ‘typename adelie_core::matrix::MatrixNaiveConvexReluSparse<SparseType, MaskType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveConvexReluSparse<SparseType, MaskType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with SparseType = Eigen::SparseMatrix<double, 0, int>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  472 |     return _cmul(j, v, weights, _n_threads, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:465:1:   required from here
   19 |     MatrixNaiveConvexReluSparse<SparseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:416:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluSparse<SparseType, MaskType, IndexType>::_ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with SparseType = Eigen::SparseMatrix<double, 0, int>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  416 |         (v * (1-2*j_sgn)) * _mask.col(j_m).transpose().array().template cast<value_t>(),
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:497:5:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluSparse<SparseType, MaskType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with SparseType = Eigen::SparseMatrix<double, 0, int>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  497 |     _ctmul(j, v, out, _n_threads);
      |     ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:490:1:   required from here
   19 |     MatrixNaiveConvexReluSparse<SparseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > > >’
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:292:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >’
  292 | struct evaluator<Map<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:407:54:   required from ‘struct Eigen::internal::sparse_conjunction_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>’
  407 |   typedef typename evaluator<LhsArg>::InnerIterator  LhsIterator;
      |                                                      ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:334:8:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>’
  334 | struct binary_evaluator<CwiseBinaryOp<scalar_product_op<T1,T2>, Lhs, Rhs>, IteratorBased, IteratorBased>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97:   required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
  687 |       const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator<OtherDerived>::Flags & RowMajorBit);
      |                                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:644:77:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluSparse<SparseType, MaskType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with SparseType = Eigen::SparseMatrix<double, 0, int>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  644 |     Eigen::SparseMatrix<value_t, Eigen::ColMajor> mat_sq = _mat.cwiseProduct(_mat);
      |                                                            ~~~~~~~~~~~~~~~~~^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:637:1:   required from here
   19 |     MatrixNaiveConvexReluSparse<SparseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:649:22:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluSparse<Eigen::SparseMatrix<double, 0, int>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(int, const auto:31&)> [with auto:31 = Eigen::SparseMatrix<double, 0, int>]’
  649 |             (weights * _mask.col(k).transpose().array().template cast<value_t>()).matrix()
      |             ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:652:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluSparse<Eigen::SparseMatrix<double, 0, int>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:32)> [with auto:32 = long int]’
  652 |     util::omp_parallel_for([&](auto k) { routine(k, mat_sq); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluSparse<Eigen::SparseMatrix<double, 0, int>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:32)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:652:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluSparse<SparseType, MaskType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with SparseType = Eigen::SparseMatrix<double, 0, int>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  652 |     util::omp_parallel_for([&](auto k) { routine(k, mat_sq); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:637:1:   required from here
   19 |     MatrixNaiveConvexReluSparse<SparseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:649:89:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluSparse<Eigen::SparseMatrix<double, 0, int>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(int, const auto:31&)> [with auto:31 = Eigen::SparseMatrix<double, 0, int>]’
  648 |         out.segment(k * d, d).matrix() = (
      |                                          ~                                               
  649 |             (weights * _mask.col(k).transpose().array().template cast<value_t>()).matrix()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
  650 |         ) * mat_sq;
      |         ~                                                                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:652:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluSparse<Eigen::SparseMatrix<double, 0, int>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:32)> [with auto:32 = long int]’
  652 |     util::omp_parallel_for([&](auto k) { routine(k, mat_sq); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluSparse<Eigen::SparseMatrix<double, 0, int>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:32)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:652:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluSparse<SparseType, MaskType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with SparseType = Eigen::SparseMatrix<double, 0, int>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  652 |     util::omp_parallel_for([&](auto k) { routine(k, mat_sq); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:637:1:   required from here
   19 |     MatrixNaiveConvexReluSparse<SparseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >, Eigen::SparseMatrix<double, 0, int>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >, Eigen::SparseMatrix<double, 0, int>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >, Eigen::SparseMatrix<double, 0, int>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >, Eigen::SparseMatrix<double, 0, int>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >, Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >, Eigen::SparseMatrix<double, 0, int>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:650:11:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluSparse<Eigen::SparseMatrix<double, 0, int>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(int, const auto:31&)> [with auto:31 = Eigen::SparseMatrix<double, 0, int>]’
  648 |         out.segment(k * d, d).matrix() = (
      |                                          ~
  649 |             (weights * _mask.col(k).transpose().array().template cast<value_t>()).matrix()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  650 |         ) * mat_sq;
      |         ~~^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:652:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluSparse<Eigen::SparseMatrix<double, 0, int>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:32)> [with auto:32 = long int]’
  652 |     util::omp_parallel_for([&](auto k) { routine(k, mat_sq); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluSparse<Eigen::SparseMatrix<double, 0, int>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:32)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:652:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluSparse<SparseType, MaskType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with SparseType = Eigen::SparseMatrix<double, 0, int>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  652 |     util::omp_parallel_for([&](auto k) { routine(k, mat_sq); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:637:1:   required from here
   19 |     MatrixNaiveConvexReluSparse<SparseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:29:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:24:30:   required from ‘auto adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   24 |     return (1-2*j_sgn) * ddot(
      |                          ~~~~^
   25 |         _mat.col(j_d).cwiseProduct(_mask.col(j_m).template cast<value_t>()),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   26 |         (v * weights).matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~
   27 |         _n_threads,
      |         ~~~~~~~~~~~           
   28 |         buff
      |         ~~~~                  
   29 |     );
      |     ~                         
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:121:12:   required from ‘typename adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  121 |     return _cmul(j, v, weights, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:114:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:52:16:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::_ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
   50 |         (v * (1-2*j_sgn)) * _mat.col(j_d).cwiseProduct(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~
   51 |             _mask.col(j_m).template cast<value_t>()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   52 |         ).array(),
      |         ~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:146:5:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  146 |     _ctmul(j, v, out, _n_threads);
      |     ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:139:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:50:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::_ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
   50 |         (v * (1-2*j_sgn)) * _mat.col(j_d).cwiseProduct(
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   51 |             _mask.col(j_m).template cast<value_t>()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   52 |         ).array(),
      |         ~~~~~~~~~          
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:146:5:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  146 |     _ctmul(j, v, out, _n_threads);
      |     ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:139:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:82:91:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   82 |             (1-2*k_sgn) * _mask.col(k_m).transpose().template cast<value_t>().cwiseProduct((v * weights).matrix()),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:159:5:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  159 |     _bmul(j, q, v, weights, out, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:151:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:82:25:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   82 |             (1-2*k_sgn) * _mask.col(k_m).transpose().template cast<value_t>().cwiseProduct((v * weights).matrix()),
      |             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:159:5:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  159 |     _bmul(j, q, v, weights, out, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:151:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:21:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’
  217 |             out = v * m;
      |                   ~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:200:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  200 |         dgemv(
      |         ~~~~~^
  201 |             _mat.middleCols(k_d, size).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  202 |             v.segment(n_processed, size).matrix(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  203 |             _n_threads,
      |             ~~~~~~~~~~~
  204 |             buff,
      |             ~~~~~
  205 |             Xv_m
      |             ~~~~
  206 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:178:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:28:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:200:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  200 |         dgemv(
      |         ~~~~~^
  201 |             _mat.middleCols(k_d, size).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  202 |             v.segment(n_processed, size).matrix(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  203 |             _n_threads,
      |             ~~~~~~~~~~~
  204 |             buff,
      |             ~~~~~
  205 |             Xv_m
      |             ~~~~
  206 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:178:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:46:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                                            ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:200:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  200 |         dgemv(
      |         ~~~~~^
  201 |             _mat.middleCols(k_d, size).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  202 |             v.segment(n_processed, size).matrix(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  203 |             _n_threads,
      |             ~~~~~~~~~~~
  204 |             buff,
      |             ~~~~~
  205 |             Xv_m
      |             ~~~~
  206 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:178:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:21:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:200:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  200 |         dgemv(
      |         ~~~~~^
  201 |             _mat.middleCols(k_d, size).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  202 |             v.segment(n_processed, size).matrix(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  203 |             _n_threads,
      |             ~~~~~~~~~~~
  204 |             buff,
      |             ~~~~~
  205 |             Xv_m
      |             ~~~~
  206 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:178:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:29:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:200:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  200 |         dgemv(
      |         ~~~~~^
  201 |             _mat.middleCols(k_d, size).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  202 |             v.segment(n_processed, size).matrix(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  203 |             _n_threads,
      |             ~~~~~~~~~~~
  204 |             buff,
      |             ~~~~~
  205 |             Xv_m
      |             ~~~~
  206 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:178:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:258:26:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:200:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  200 |         dgemv(
      |         ~~~~~^
  201 |             _mat.middleCols(k_d, size).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  202 |             v.segment(n_processed, size).matrix(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  203 |             _n_threads,
      |             ~~~~~~~~~~~
  204 |             buff,
      |             ~~~~~
  205 |             Xv_m
      |             ~~~~
  206 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:178:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:258:40:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |                                   ~     
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                           
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:200:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  200 |         dgemv(
      |         ~~~~~^
  201 |             _mat.middleCols(k_d, size).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  202 |             v.segment(n_processed, size).matrix(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  203 |             _n_threads,
      |             ~~~~~~~~~~~
  204 |             buff,
      |             ~~~~~
  205 |             Xv_m
      |             ~~~~
  206 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:178:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:262:29:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’
  262 |             out = buff.block(0, 0, n_blocks, p).colwise().sum();
      |                   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:200:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  200 |         dgemv(
      |         ~~~~~^
  201 |             _mat.middleCols(k_d, size).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  202 |             v.segment(n_processed, size).matrix(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  203 |             _n_threads,
      |             ~~~~~~~~~~~
  204 |             buff,
      |             ~~~~~
  205 |             Xv_m
      |             ~~~~
  206 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:178:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:262:62:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’
  262 |             out = buff.block(0, 0, n_blocks, p).colwise().sum();
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:200:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  200 |         dgemv(
      |         ~~~~~^
  201 |             _mat.middleCols(k_d, size).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  202 |             v.segment(n_processed, size).matrix(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  203 |             _n_threads,
      |             ~~~~~~~~~~~
  204 |             buff,
      |             ~~~~~
  205 |             Xv_m
      |             ~~~~
  206 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:178:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:37:46:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; size_t = long unsigned int]’
   37 |         x1.segment(begin, size) += x2.segment(begin, size);
      |                                    ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:207:15:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  207 |         dvaddi(
      |         ~~~~~~^
  208 |             out,
      |             ~~~~
  209 |             (1-2*k_sgn) * Xv * _mask.col(k_m).transpose().template cast<value_t>().array(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  210 |             _n_threads
      |             ~~~~~~~~~~
  211 |         );
      |         ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:178:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:295:76:   required from ‘void adelie_core::matrix::dxtx(const XType&, size_t, BuffType&, OutType&) [with XType = Eigen::Matrix<double, -1, -1>; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; OutType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; size_t = long unsigned int]’
  295 |         out.template selfadjointView<Eigen::Lower>().rankUpdate(X.transpose());
      |                                                                 ~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:298:9:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  298 |     dxtx(buffer, _n_threads, outs, out);
      |     ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:260:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:311:38:   required from ‘void adelie_core::matrix::dxtx(const XType&, size_t, BuffType&, OutType&) [with XType = Eigen::Matrix<double, -1, -1>; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; OutType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; size_t = long unsigned int]’
  311 |         const auto X_t = X.middleRows(begin, size);
      |                          ~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:298:9:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  298 |     dxtx(buffer, _n_threads, outs, out);
      |     ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:260:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:315:80:   required from ‘void adelie_core::matrix::dxtx(const XType&, size_t, BuffType&, OutType&) [with XType = Eigen::Matrix<double, -1, -1>; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; OutType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; size_t = long unsigned int]’
  315 |         out_t.template selfadjointView<Eigen::Lower>().rankUpdate(X_t.transpose());
      |                                                                   ~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:298:9:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  298 |     dxtx(buffer, _n_threads, outs, out);
      |     ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:260:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:318:75:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:28, const auto:29&)> [with auto:28 = long int; auto:29 = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >]’
  318 |             _mask.col(i).transpose().template cast<value_t>().cwiseProduct(w.matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)> [with auto:30 = long int]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:303:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:37:46:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; size_t = long unsigned int]’
   37 |         x1.segment(begin, size) += x2.segment(begin, size);
      |                                    ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_gated_relu.ipp:197:15:   required from ‘void adelie_core::matrix::MatrixNaiveConvexGatedReluDense<DenseType, MaskType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  197 |         dvaddi(
      |         ~~~~~~^
  198 |             out,
      |             ~~~~
  199 |             Xv * _mask.col(k_m).transpose().template cast<value_t>().array(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  200 |             _n_threads
      |             ~~~~~~~~~~
  201 |         );
      |         ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_gated_relu.ipp:171:1:   required from here
   10 |     MatrixNaiveConvexGatedReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1> > >’
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 1> >’
 1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::SparseMatrix<double, 1> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:438:43:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Block<const Eigen::SparseMatrix<double, 1>, -1, -1, false>, Eigen::internal::IteratorBased, double>’
  438 |       CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                           ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8:   required from ‘struct Eigen::internal::block_evaluator<const Eigen::SparseMatrix<double, 1>, -1, -1, false, false>’
 1087 | struct block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel, /*HasDirectAccess*/ false>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double, 1>, -1, -1, false> >’
 1034 | struct evaluator<Block<ArgType, BlockRows, BlockCols, InnerPanel> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97:   required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::SparseMatrix<double, 1>, -1, -1, false>; _Scalar = double; int _Options = 1; _StorageIndex = int]’
  687 |       const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator<OtherDerived>::Flags & RowMajorBit);
      |                                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.ipp:320:33:   required from ‘void adelie_core::matrix::MatrixNaiveCConcatenate<ValueType, IndexType>::sp_tmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t>) const [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  320 |         mat.sp_tmul(v.middleCols(n_processed, q_curr), buff);
      |                     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.ipp:306:1:   required from here
   10 |     MatrixNaiveCConcatenate<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double, 1>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97:   required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::SparseMatrix<double, 1>, -1, -1, false>; _Scalar = double; int _Options = 1; _StorageIndex = int]’
  687 |       const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator<OtherDerived>::Flags & RowMajorBit);
      |                                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.ipp:320:33:   required from ‘void adelie_core::matrix::MatrixNaiveCConcatenate<ValueType, IndexType>::sp_tmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t>) const [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  320 |         mat.sp_tmul(v.middleCols(n_processed, q_curr), buff);
      |                     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.ipp:306:1:   required from here
   10 |     MatrixNaiveCConcatenate<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:28:43:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   28 |         cov.noalias() = block.transpose() * _X;
      |                         ~~~~~~~~~~~~~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:83:13:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   83 |             cache(i, cache_size);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:68:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:43:23:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   43 |         cov.middleRows(begin, size).noalias() = (
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:83:13:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   83 |             cache(i, cache_size);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:68:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:44:55:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   43 |         cov.middleRows(begin, size).noalias() = (
      |                                                 ~      
   44 |             block.transpose().middleRows(begin, size) * _X
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
   45 |         );
      |         ~                                              
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:83:13:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   83 |             cache(i, cache_size);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:68:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:28:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:127:18:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  127 |             dgemv(
      |             ~~~~~^
  128 |                 _X.middleCols(i, block_size).transpose(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  129 |                 values.segment(i_idx, block_size).matrix(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  130 |                 _n_threads,
      |                 ~~~~~~~~~~~
  131 |                 buff,
      |                 ~~~~~
  132 |                 Xv_m
      |                 ~~~~
  133 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:103:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:21:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; size_t = long unsigned int]’
  217 |             out = v * m;
      |                   ~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:135:18:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |             dgemv(
      |             ~~~~~^
  136 |                 _X,
      |                 ~~~
  137 |                 Xv_m,
      |                 ~~~~~
  138 |                 _n_threads,
      |                 ~~~~~~~~~~~
  139 |                 buff,
      |                 ~~~~~
  140 |                 XTXv_m
      |                 ~~~~~~
  141 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:103:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:46:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                                            ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:135:18:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |             dgemv(
      |             ~~~~~^
  136 |                 _X,
      |                 ~~~
  137 |                 Xv_m,
      |                 ~~~~~
  138 |                 _n_threads,
      |                 ~~~~~~~~~~~
  139 |                 buff,
      |                 ~~~~~
  140 |                 XTXv_m
      |                 ~~~~~~
  141 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:103:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:258:40:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |                                   ~     
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                           
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:135:18:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |             dgemv(
      |             ~~~~~^
  136 |                 _X,
      |                 ~~~
  137 |                 Xv_m,
      |                 ~~~~~
  138 |                 _n_threads,
      |                 ~~~~~~~~~~~
  139 |                 buff,
      |                 ~~~~~
  140 |                 XTXv_m
      |                 ~~~~~~
  141 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:103:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:37:46:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; size_t = long unsigned int]’
   37 |         x1.segment(begin, size) += x2.segment(begin, size);
      |                                    ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:142:19:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  142 |             dvaddi(out, XTXv_m.array(), _n_threads);
      |             ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:103:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:37:46:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >; size_t = long unsigned int]’
   37 |         x1.segment(begin, size) += x2.segment(begin, size);
      |                                    ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:149:15:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  149 |         dvaddi(out, v * mat.row(i_rel).array(), _n_threads);
      |         ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:103:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:37:46:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; size_t = long unsigned int]’
   37 |         x1.segment(begin, size) += x2.segment(begin, size);
      |                                    ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.ipp:61:19:   required from ‘void adelie_core::matrix::MatrixCovDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   61 |             dvaddi(out, v * _mat.col(i).array(), _n_threads);
      |             ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.ipp:47:1:   required from here
   10 |     MatrixCovDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > > >’
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:292:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >’
  292 | struct evaluator<Map<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:438:43:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::internal::IteratorBased, double>’
  438 |       CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                           ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8:   required from ‘struct Eigen::internal::block_evaluator<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 1, -1, true, false>’
 1087 | struct block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel, /*HasDirectAccess*/ false>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’
 1034 | struct evaluator<Block<ArgType, BlockRows, BlockCols, InnerPanel> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Derived = Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
   29 |   internal::evaluator<Derived> thisEval(derived());
      |                                ^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_sparse.ipp:55:27:   required from ‘typename adelie_core::matrix::MatrixConstraintSparse<SparseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixConstraintSparse<SparseType, IndexType>::rvmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with SparseType = Eigen::SparseMatrix<double, 1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixConstraintBase<double, int>; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   55 |     return _mat.row(j).dot(v.matrix());
      |            ~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_sparse.ipp:50:1:   required from here
   10 |     MatrixConstraintSparse<SparseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Derived = Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
   29 |   internal::evaluator<Derived> thisEval(derived());
      |                                ^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_sparse.ipp:55:27:   required from ‘typename adelie_core::matrix::MatrixConstraintSparse<SparseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixConstraintSparse<SparseType, IndexType>::rvmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with SparseType = Eigen::SparseMatrix<double, 1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixConstraintBase<double, int>; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   55 |     return _mat.row(j).dot(v.matrix());
      |            ~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_sparse.ipp:50:1:   required from here
   10 |     MatrixConstraintSparse<SparseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:21:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  217 |             out = v * m;
      |                   ~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:85:10:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   85 |     dgemv(
      |     ~~~~~^
   86 |         _mat,
      |         ~~~~~
   87 |         v.matrix(),
      |         ~~~~~~~~~~~
   88 |         _n_threads,
      |         ~~~~~~~~~~~
   89 |         buff,
      |         ~~~~~
   90 |         out_m
      |         ~~~~~
   91 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:76:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:46:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                                            ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:85:10:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   85 |     dgemv(
      |     ~~~~~^
   86 |         _mat,
      |         ~~~~~
   87 |         v.matrix(),
      |         ~~~~~~~~~~~
   88 |         _n_threads,
      |         ~~~~~~~~~~~
   89 |         buff,
      |         ~~~~~
   90 |         out_m
      |         ~~~~~
   91 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:76:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:258:54:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                                          ~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:85:10:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   85 |     dgemv(
      |     ~~~~~^
   86 |         _mat,
      |         ~~~~~
   87 |         v.matrix(),
      |         ~~~~~~~~~~~
   88 |         _n_threads,
      |         ~~~~~~~~~~~
   89 |         buff,
      |         ~~~~~
   90 |         out_m
      |         ~~~~~
   91 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:76:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:258:40:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |                                   ~     
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                           
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:85:10:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   85 |     dgemv(
      |     ~~~~~^
   86 |         _mat,
      |         ~~~~~
   87 |         v.matrix(),
      |         ~~~~~~~~~~~
   88 |         _n_threads,
      |         ~~~~~~~~~~~
   89 |         buff,
      |         ~~~~~
   90 |         out_m
      |         ~~~~~
   91 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:76:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:21:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  217 |             out = v * m;
      |                   ~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:105:10:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::tmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  105 |     dgemv(
      |     ~~~~~^
  106 |         _mat.transpose(),
      |         ~~~~~~~~~~~~~~~~~
  107 |         v.matrix(),
      |         ~~~~~~~~~~~
  108 |         _n_threads,
      |         ~~~~~~~~~~~
  109 |         buff,
      |         ~~~~~
  110 |         out_m
      |         ~~~~~
  111 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:96:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:60:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                                                ~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:105:10:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::tmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  105 |     dgemv(
      |     ~~~~~^
  106 |         _mat.transpose(),
      |         ~~~~~~~~~~~~~~~~~
  107 |         v.matrix(),
      |         ~~~~~~~~~~~
  108 |         _n_threads,
      |         ~~~~~~~~~~~
  109 |         buff,
      |         ~~~~~
  110 |         out_m
      |         ~~~~~
  111 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:96:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:46:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                                            ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:105:10:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::tmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  105 |     dgemv(
      |     ~~~~~^
  106 |         _mat.transpose(),
      |         ~~~~~~~~~~~~~~~~~
  107 |         v.matrix(),
      |         ~~~~~~~~~~~
  108 |         _n_threads,
      |         ~~~~~~~~~~~
  109 |         buff,
      |         ~~~~~
  110 |         out_m
      |         ~~~~~
  111 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:96:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:258:54:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                                          ~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:105:10:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::tmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  105 |     dgemv(
      |     ~~~~~^
  106 |         _mat.transpose(),
      |         ~~~~~~~~~~~~~~~~~
  107 |         v.matrix(),
      |         ~~~~~~~~~~~
  108 |         _n_threads,
      |         ~~~~~~~~~~~
  109 |         buff,
      |         ~~~~~
  110 |         out_m
      |         ~~~~~
  111 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:96:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:258:40:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |                                   ~     
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                           
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:105:10:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::tmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  105 |     dgemv(
      |     ~~~~~^
  106 |         _mat.transpose(),
      |         ~~~~~~~~~~~~~~~~~
  107 |         v.matrix(),
      |         ~~~~~~~~~~~
  108 |         _n_threads,
      |         ~~~~~~~~~~~
  109 |         buff,
      |         ~~~~~
  110 |         out_m
      |         ~~~~~
  111 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:96:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from ‘struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179:   required from ‘struct Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >::CastXpr<double>’
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of ‘template<class NewType> typename Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >::cast() const [with NewType = double]’
   62 | cast() const
      | ^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:92:58:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   92 |                 (m_slice == index).template cast<value_t>().matrix(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:334:12:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  334 |     return _cmul(j, v, weights, _n_threads, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:327:1:   required from here
   10 |     MatrixNaiveOneHotDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:92:67:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   92 |                 (m_slice == index).template cast<value_t>().matrix(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:334:12:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  334 |     return _cmul(j, v, weights, _n_threads, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:327:1:   required from here
   10 |     MatrixNaiveOneHotDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:41)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:41)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:41)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:41)>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:158:41:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  158 |                 vec_value_t::NullaryExpr(_mat.rows(), [=](auto) {
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
  159 |                     return v;
      |                     ~~~~~~~~~            
  160 |                 }),
      |                 ~~                       
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:359:5:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  359 |     _ctmul(j, v, out, _n_threads);
      |     ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:352:1:   required from here
   10 |     MatrixNaiveOneHotDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:169:19:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  169 |                 v * (m_slice == index).template cast<value_t>(),
      |                 ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:359:5:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  359 |     _ctmul(j, v, out, _n_threads);
      |     ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:352:1:   required from here
   10 |     MatrixNaiveOneHotDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:42)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:42)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:42)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:42)>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:279:41:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  279 |                 vec_value_t::NullaryExpr(_mat.rows(), [&](auto) {
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
  280 |                     return v[0];
      |                     ~~~~~~~~~~~~         
  281 |                 }),
      |                 ~~                       
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:429:9:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  429 |         _btmul(jj, slice, index, level, size, v_curr, out, _n_threads);
      |         ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:413:1:   required from here
   10 |     MatrixNaiveOneHotDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:43)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:43)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:43)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:43)>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:289:41:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  289 |                 vec_value_t::NullaryExpr(_mat.rows(), [&](auto i) {
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
  290 |                     const int k = _mat(i, slice);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  291 |                     return v[k];
      |                     ~~~~~~~~~~~~         
  292 |                 }),
      |                 ~~                       
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:429:9:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  429 |         _btmul(jj, slice, index, level, size, v_curr, out, _n_threads);
      |         ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:413:1:   required from here
   10 |     MatrixNaiveOneHotDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:29:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:501:29:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  501 |             out(0, 0) = ddot(sqrt_w_mi, sqrt_w_mi, _n_threads, buff);
      |                         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:468:1:   required from here
   10 |     MatrixNaiveOneHotDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:112:76:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  112 |                     return ddot((v * w).matrix(), _mat.col(i0).cwiseProduct(_mat.col(i1)).transpose(), n_threads, buff);
      |                                                   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:501:12:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  501 |     return _cmul(j, v, weights, _n_threads, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:494:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:112:100:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  112 |                     return ddot((v * w).matrix(), _mat.col(i0).cwiseProduct(_mat.col(i1)).transpose(), n_threads, buff);
      |                                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:501:12:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  501 |     return _cmul(j, v, weights, _n_threads, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:494:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:132:26:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  132 |                     (mi1 * (mi0 == k0).template cast<value_t>()).matrix(),
      |                     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:501:12:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  501 |     return _cmul(j, v, weights, _n_threads, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:494:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:132:72:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  132 |                     (mi1 * (mi0 == k0).template cast<value_t>()).matrix(),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:501:12:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  501 |     return _cmul(j, v, weights, _n_threads, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:494:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from ‘struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179:   required from ‘struct Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >::CastXpr<double>’
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of ‘template<class NewType> typename Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >::cast() const [with NewType = double]’
   62 | cast() const
      | ^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:165:68:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  165 |                 ((mi0 == k0) && (mi1 == k1)).template cast<value_t>().matrix(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:501:12:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  501 |     return _cmul(j, v, weights, _n_threads, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:494:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:165:77:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  165 |                 ((mi0 == k0) && (mi1 == k1)).template cast<value_t>().matrix(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:501:12:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  501 |     return _cmul(j, v, weights, _n_threads, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:494:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:207:70:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  207 |                     dvaddi(out, v * _mat.col(i0).transpose().array() * _mat.col(i1).transpose().array(), n_threads);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:526:5:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  526 |     _ctmul(j, v, out, _n_threads);
      |     ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:519:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:226:29:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  226 |                     v * mi1 * (mi0 == k0).template cast<value_t>(),
      |                     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:526:5:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  526 |     _ctmul(j, v, out, _n_threads);
      |     ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:519:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:256:19:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  256 |                 v * ((mi0 == k0) && (mi1 == k1)).template cast<value_t>(),
      |                 ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:526:5:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  526 |     _ctmul(j, v, out, _n_threads);
      |     ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:519:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:416:50:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  416 |             dvaddi(out, v[0] * mi0 + mi1 * (v[1] + v[2] * mi0), n_threads);
      |                                            ~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:617:9:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  617 |         _btmul(jj, i0, i1, l0, l1, index, size, v_curr, out, _n_threads);
      |         ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:594:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:416:42:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  416 |             dvaddi(out, v[0] * mi0 + mi1 * (v[1] + v[2] * mi0), n_threads);
      |                                      ~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:617:9:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  617 |         _btmul(jj, i0, i1, l0, l1, index, size, v_curr, out, _n_threads);
      |         ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:594:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:416:36:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  416 |             dvaddi(out, v[0] * mi0 + mi1 * (v[1] + v[2] * mi0), n_threads);
      |                         ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:617:9:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  617 |         _btmul(jj, i0, i1, l0, l1, index, size, v_curr, out, _n_threads);
      |         ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:594:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:34)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:34)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:34)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:34)>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:422:41:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  422 |                 vec_value_t::NullaryExpr(_mat.rows(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
  423 |                     [&](auto i) {
      |                     ~~~~~~~~~~~~~        
  424 |                         const int k0 = _mat(i, i0);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  425 |                         return v[k0] + v[l0 + k0] * _mat(i, i1);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  426 |                     }
      |                     ~                    
  427 |                 ),
      |                 ~                        
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:617:9:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  617 |         _btmul(jj, i0, i1, l0, l1, index, size, v_curr, out, _n_threads);
      |         ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:594:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:35)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:35)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:35)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:35)>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:435:41:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  435 |                 vec_value_t::NullaryExpr(_mat.rows(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
  436 |                     [&](auto i) {
      |                     ~~~~~~~~~~~~~        
  437 |                         const int k1 = _mat(i, i1);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  438 |                         const auto b = _n_levels_cont * k1;
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |                         return v[b] + v[b+1] * _mat(i, i0);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  440 |                     }
      |                     ~                    
  441 |                 ),
      |                 ~                        
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:617:9:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  617 |         _btmul(jj, i0, i1, l0, l1, index, size, v_curr, out, _n_threads);
      |         ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:594:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:36)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:36)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:36)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:36)>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:449:41:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  449 |                 vec_value_t::NullaryExpr(_mat.rows(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
  450 |                     [&](auto i) {
      |                     ~~~~~~~~~~~~~        
  451 |                         const int k0 = _mat(i, i0);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  452 |                         const int k1 = _mat(i, i1);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  453 |                         return v[k1 * l0 + k0];
      |                         ~~~~~~~~~~~~~~~~~~~~~~~
  454 |                     }
      |                     ~                    
  455 |                 ),
      |                 ~                        
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:617:9:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  617 |         _btmul(jj, i0, i1, l0, l1, index, size, v_curr, out, _n_threads);
      |         ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:594:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:97:45:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Array<double, 1, -1, 1, 1, -1>; X2Type = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
   97 |         x1.segment(begin, size) = x2.segment(begin, size);
      |                                   ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:702:18:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  702 |             dvveq(w, sqrt_w.square(), _n_threads);
      |             ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:663:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:57:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                                               ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:703:29:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  703 |             out(0, 0) = ddot(w.matrix(), mi0.square().matrix(), _n_threads, buff);
      |                         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:663:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:57:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                                               ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:704:29:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  704 |             out(1, 0) = ddot(w.matrix(), (mi0 * mi1).matrix(), _n_threads, buff);
      |                         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:663:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:57:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                                               ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:706:29:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  706 |             out(2, 0) = ddot(w.matrix(), (mi0.square() * mi1).matrix(), _n_threads, buff);
      |                         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:663:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:57:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                                               ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:708:29:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  708 |             out(2, 2) = ddot(w.matrix(), (mi0 * mi1).square().matrix(), _n_threads, buff);
      |                         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:663:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.ipp:272:22:   required from ‘void adelie_core::matrix::MatrixNaiveCSubset<ValueType, IndexType>::sp_tmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t>) const [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  272 |         out_k.setZero();
      |         ~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.ipp:260:1:   required from here
   10 |     MatrixNaiveCSubset<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:33:7:   required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; VType = Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   33 |       Map<Matrix<Scalar,Dynamic,1> >(mat+stride*i+i, size-i) +=
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; DerivedV = Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’
   85 |   internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   86 |     (IsRowMajor ? int(UpLo==Upper ? Lower : Upper) : UpLo)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   87 |     ::run(_expression().const_cast_derived().data(),_expression().outerStride(),UType(actualU),VType(actualV),actualAlpha);
      |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:212:29:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) const [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  212 |         out_lower.rankUpdate(centers.matrix().transpose(), means.matrix().transpose(), -1);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:191:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:82:   required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; VType = Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   34 |                         (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i)
      |                                                                            ~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; DerivedV = Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’
   85 |   internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   86 |     (IsRowMajor ? int(UpLo==Upper ? Lower : Upper) : UpLo)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   87 |     ::run(_expression().const_cast_derived().data(),_expression().outerStride(),UType(actualU),VType(actualV),actualAlpha);
      |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:212:29:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) const [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  212 |         out_lower.rankUpdate(centers.matrix().transpose(), means.matrix().transpose(), -1);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:191:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74:   required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; VType = Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   34 |                         (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i)
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; DerivedV = Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’
   85 |   internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   86 |     (IsRowMajor ? int(UpLo==Upper ? Lower : Upper) : UpLo)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   87 |     ::run(_expression().const_cast_derived().data(),_expression().outerStride(),UType(actualU),VType(actualV),actualAlpha);
      |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:212:29:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) const [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  212 |         out_lower.rankUpdate(centers.matrix().transpose(), means.matrix().transpose(), -1);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:191:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:68:   required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; VType = Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   35 |                       + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i);
      |                                                              ~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; DerivedV = Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’
   85 |   internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   86 |     (IsRowMajor ? int(UpLo==Upper ? Lower : Upper) : UpLo)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   87 |     ::run(_expression().const_cast_derived().data(),_expression().outerStride(),UType(actualU),VType(actualV),actualAlpha);
      |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:212:29:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) const [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  212 |         out_lower.rankUpdate(centers.matrix().transpose(), means.matrix().transpose(), -1);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:191:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60:   required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; VType = Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   35 |                       + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; DerivedV = Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’
   85 |   internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   86 |     (IsRowMajor ? int(UpLo==Upper ? Lower : Upper) : UpLo)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   87 |     ::run(_expression().const_cast_derived().data(),_expression().outerStride(),UType(actualU),VType(actualV),actualAlpha);
      |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:212:29:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) const [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  212 |         out_lower.rankUpdate(centers.matrix().transpose(), means.matrix().transpose(), -1);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:191:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23:   required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; VType = Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   34 |                         (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i)
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                       + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i);
      |                       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; DerivedV = Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’
   85 |   internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   86 |     (IsRowMajor ? int(UpLo==Upper ? Lower : Upper) : UpLo)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   87 |     ::run(_expression().const_cast_derived().data(),_expression().outerStride(),UType(actualU),VType(actualV),actualAlpha);
      |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:212:29:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) const [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  212 |         out_lower.rankUpdate(centers.matrix().transpose(), means.matrix().transpose(), -1);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:191:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.ipp:183:16:   required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry<ValueType, MmapPtrType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) const [with ValueType = double; MmapPtrType = std::shared_ptr<char>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  183 |     out.setZero(); // don't parallelize! q is usually small
      |     ~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.ipp:169:1:   required from here
   14 |     MatrixNaiveSNPPhasedAncestry<ValueType, MmapPtrType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:21:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  217 |             out = v * m;
      |                   ~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:401:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  401 |         dgemv(
      |         ~~~~~^
  402 |             VW.middleCols(l, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  403 |             _mat.col(i).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  404 |             _n_threads,
      |             ~~~~~~~~~~~
  405 |             buff,
      |             ~~~~~
  406 |             _out
      |             ~~~~
  407 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:483:5:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  483 |     _bmul(j, q, v, weights, out, _vbuff, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:475:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:28:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:401:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  401 |         dgemv(
      |         ~~~~~^
  402 |             VW.middleCols(l, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  403 |             _mat.col(i).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  404 |             _n_threads,
      |             ~~~~~~~~~~~
  405 |             buff,
      |             ~~~~~
  406 |             _out
      |             ~~~~
  407 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:483:5:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  483 |     _bmul(j, q, v, weights, out, _vbuff, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:475:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:60:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                                                ~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:401:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  401 |         dgemv(
      |         ~~~~~^
  402 |             VW.middleCols(l, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  403 |             _mat.col(i).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  404 |             _n_threads,
      |             ~~~~~~~~~~~
  405 |             buff,
      |             ~~~~~
  406 |             _out
      |             ~~~~
  407 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:483:5:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  483 |     _bmul(j, q, v, weights, out, _vbuff, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:475:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:46:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                                            ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:401:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  401 |         dgemv(
      |         ~~~~~^
  402 |             VW.middleCols(l, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  403 |             _mat.col(i).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  404 |             _n_threads,
      |             ~~~~~~~~~~~
  405 |             buff,
      |             ~~~~~
  406 |             _out
      |             ~~~~
  407 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:483:5:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  483 |     _bmul(j, q, v, weights, out, _vbuff, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:475:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:29:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:401:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  401 |         dgemv(
      |         ~~~~~^
  402 |             VW.middleCols(l, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  403 |             _mat.col(i).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  404 |             _n_threads,
      |             ~~~~~~~~~~~
  405 |             buff,
      |             ~~~~~
  406 |             _out
      |             ~~~~
  407 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:483:5:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  483 |     _bmul(j, q, v, weights, out, _vbuff, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:475:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:258:26:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:401:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  401 |         dgemv(
      |         ~~~~~^
  402 |             VW.middleCols(l, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  403 |             _mat.col(i).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  404 |             _n_threads,
      |             ~~~~~~~~~~~
  405 |             buff,
      |             ~~~~~
  406 |             _out
      |             ~~~~
  407 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:483:5:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  483 |     _bmul(j, q, v, weights, out, _vbuff, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:475:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:258:54:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                                          ~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:401:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  401 |         dgemv(
      |         ~~~~~^
  402 |             VW.middleCols(l, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  403 |             _mat.col(i).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  404 |             _n_threads,
      |             ~~~~~~~~~~~
  405 |             buff,
      |             ~~~~~
  406 |             _out
      |             ~~~~
  407 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:483:5:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  483 |     _bmul(j, q, v, weights, out, _vbuff, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:475:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:258:40:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |                                   ~     
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                           
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:401:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  401 |         dgemv(
      |         ~~~~~^
  402 |             VW.middleCols(l, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  403 |             _mat.col(i).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  404 |             _n_threads,
      |             ~~~~~~~~~~~
  405 |             buff,
      |             ~~~~~
  406 |             _out
      |             ~~~~
  407 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:483:5:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  483 |     _bmul(j, q, v, weights, out, _vbuff, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:475:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:262:62:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  262 |             out = buff.block(0, 0, n_blocks, p).colwise().sum();
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:401:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  401 |         dgemv(
      |         ~~~~~^
  402 |             VW.middleCols(l, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  403 |             _mat.col(i).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  404 |             _n_threads,
      |             ~~~~~~~~~~~
  405 |             buff,
      |             ~~~~~
  406 |             _out
      |             ~~~~
  407 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:483:5:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  483 |     _bmul(j, q, v, weights, out, _vbuff, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:475:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   required from ‘struct Eigen::internal::blas_traits<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >’
  506 |     >::type DirectLinearAccessType;
      |             ^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:89:62:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
   89 |     typedef typename OtherBlasTraits::DirectLinearAccessType ActualOtherType;
      |                                                              ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:581:65:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  581 |         XTWX.template selfadjointView<Eigen::Lower>().rankUpdate(sqrt_WX.transpose());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:547:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:37:46:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; size_t = long unsigned int]’
   37 |         x1.segment(begin, size) += x2.segment(begin, size);
      |                                    ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:48:11:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::_ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
   48 |     dvaddi(
      |     ~~~~~~^
   49 |         out,
      |         ~~~~
   50 |         (v * (1-2*j_sgn)) * _mat.col(j_d).cwiseProduct(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   51 |             _mask.col(j_m).template cast<value_t>()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   52 |         ).array(),
      |         ~~~~~~~~~~
   53 |         n_threads
      |         ~~~~~~~~~
   54 |     );
      |     ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:146:5:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  146 |     _ctmul(j, v, out, _n_threads);
      |     ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:139:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:21:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  217 |             out = v * m;
      |                   ~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:80:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   80 |         dgemv(
      |         ~~~~~^
   81 |             _mat.middleCols(k_d, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~
   82 |             (1-2*k_sgn) * _mask.col(k_m).transpose().template cast<value_t>().cwiseProduct((v * weights).matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   83 |             _n_threads,
      |             ~~~~~~~~~~~
   84 |             buff,
      |             ~~~~~
   85 |             out_m
      |             ~~~~~
   86 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:159:5:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  159 |     _bmul(j, q, v, weights, out, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:151:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:46:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                                            ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:80:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   80 |         dgemv(
      |         ~~~~~^
   81 |             _mat.middleCols(k_d, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~
   82 |             (1-2*k_sgn) * _mask.col(k_m).transpose().template cast<value_t>().cwiseProduct((v * weights).matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   83 |             _n_threads,
      |             ~~~~~~~~~~~
   84 |             buff,
      |             ~~~~~
   85 |             out_m
      |             ~~~~~
   86 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:159:5:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  159 |     _bmul(j, q, v, weights, out, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:151:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:258:26:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:80:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   80 |         dgemv(
      |         ~~~~~^
   81 |             _mat.middleCols(k_d, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~
   82 |             (1-2*k_sgn) * _mask.col(k_m).transpose().template cast<value_t>().cwiseProduct((v * weights).matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   83 |             _n_threads,
      |             ~~~~~~~~~~~
   84 |             buff,
      |             ~~~~~
   85 |             out_m
      |             ~~~~~
   86 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:159:5:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  159 |     _bmul(j, q, v, weights, out, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:151:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:258:40:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |                                   ~     
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                           
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:80:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   80 |         dgemv(
      |         ~~~~~^
   81 |             _mat.middleCols(k_d, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~
   82 |             (1-2*k_sgn) * _mask.col(k_m).transpose().template cast<value_t>().cwiseProduct((v * weights).matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   83 |             _n_threads,
      |             ~~~~~~~~~~~
   84 |             buff,
      |             ~~~~~
   85 |             out_m
      |             ~~~~~
   86 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:159:5:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  159 |     _bmul(j, q, v, weights, out, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:151:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:21:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  217 |             out = v * m;
      |                   ~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:231:14:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:25, const auto:26&)> [with auto:25 = long int; auto:26 = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >]’
  231 |         dgemv(
      |         ~~~~~^
  232 |             _mat,
      |             ~~~~~
  233 |             _mask.col(i).transpose().template cast<value_t>().cwiseProduct(v_weights),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |             1,
      |             ~~
  235 |             buff /* unused */,
      |             ~~~~~~~~~~~~~~~~~~
  236 |             out_m
      |             ~~~~~
  237 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:240:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:27)> [with auto:27 = long int]’
  240 |     util::omp_parallel_for([&](auto i) { routine(i, v_weights); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:27)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:240:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  240 |     util::omp_parallel_for([&](auto i) { routine(i, v_weights); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:218:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:46:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                                            ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:231:14:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:25, const auto:26&)> [with auto:25 = long int; auto:26 = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >]’
  231 |         dgemv(
      |         ~~~~~^
  232 |             _mat,
      |             ~~~~~
  233 |             _mask.col(i).transpose().template cast<value_t>().cwiseProduct(v_weights),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |             1,
      |             ~~
  235 |             buff /* unused */,
      |             ~~~~~~~~~~~~~~~~~~
  236 |             out_m
      |             ~~~~~
  237 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:240:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:27)> [with auto:27 = long int]’
  240 |     util::omp_parallel_for([&](auto i) { routine(i, v_weights); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:27)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:240:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  240 |     util::omp_parallel_for([&](auto i) { routine(i, v_weights); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:218:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:258:26:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:231:14:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:25, const auto:26&)> [with auto:25 = long int; auto:26 = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >]’
  231 |         dgemv(
      |         ~~~~~^
  232 |             _mat,
      |             ~~~~~
  233 |             _mask.col(i).transpose().template cast<value_t>().cwiseProduct(v_weights),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |             1,
      |             ~~
  235 |             buff /* unused */,
      |             ~~~~~~~~~~~~~~~~~~
  236 |             out_m
      |             ~~~~~
  237 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:240:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:27)> [with auto:27 = long int]’
  240 |     util::omp_parallel_for([&](auto i) { routine(i, v_weights); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:27)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:240:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  240 |     util::omp_parallel_for([&](auto i) { routine(i, v_weights); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:218:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:258:40:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |                                   ~     
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                           
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:231:14:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:25, const auto:26&)> [with auto:25 = long int; auto:26 = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >]’
  231 |         dgemv(
      |         ~~~~~^
  232 |             _mat,
      |             ~~~~~
  233 |             _mask.col(i).transpose().template cast<value_t>().cwiseProduct(v_weights),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |             1,
      |             ~~
  235 |             buff /* unused */,
      |             ~~~~~~~~~~~~~~~~~~
  236 |             out_m
      |             ~~~~~
  237 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:240:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:27)> [with auto:27 = long int]’
  240 |     util::omp_parallel_for([&](auto i) { routine(i, v_weights); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:27)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:240:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  240 |     util::omp_parallel_for([&](auto i) { routine(i, v_weights); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:218:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, -1>’
   45 | class Array
      |       ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1> > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1> > >; Derived = Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:290:28:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  290 |         curr_block.array() = (1-2*k_sgn) * (
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
  291 |             mat.array().colwise() *
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  292 |             mask.template cast<value_t>().cwiseProduct(sqrt_weights.matrix().transpose()).array()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  293 |         );
      |         ~                   
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:260:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:21:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Matrix<double, -1, -1>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  217 |             out = v * m;
      |                   ~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:316:14:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:28, const auto:29&)> [with auto:28 = long int; auto:29 = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >]’
  316 |         dgemv(
      |         ~~~~~^
  317 |             mat_sq,
      |             ~~~~~~~
  318 |             _mask.col(i).transpose().template cast<value_t>().cwiseProduct(w.matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  319 |             1,
      |             ~~
  320 |             buff /* unused */,
      |             ~~~~~~~~~~~~~~~~~~
  321 |             out_m
      |             ~~~~~
  322 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)> [with auto:30 = long int]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:303:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:60:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Matrix<double, -1, -1>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                                                ~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:316:14:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:28, const auto:29&)> [with auto:28 = long int; auto:29 = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >]’
  316 |         dgemv(
      |         ~~~~~^
  317 |             mat_sq,
      |             ~~~~~~~
  318 |             _mask.col(i).transpose().template cast<value_t>().cwiseProduct(w.matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  319 |             1,
      |             ~~
  320 |             buff /* unused */,
      |             ~~~~~~~~~~~~~~~~~~
  321 |             out_m
      |             ~~~~~
  322 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)> [with auto:30 = long int]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:303:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:46:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Matrix<double, -1, -1>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                                            ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:316:14:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:28, const auto:29&)> [with auto:28 = long int; auto:29 = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >]’
  316 |         dgemv(
      |         ~~~~~^
  317 |             mat_sq,
      |             ~~~~~~~
  318 |             _mask.col(i).transpose().template cast<value_t>().cwiseProduct(w.matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  319 |             1,
      |             ~~
  320 |             buff /* unused */,
      |             ~~~~~~~~~~~~~~~~~~
  321 |             out_m
      |             ~~~~~
  322 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)> [with auto:30 = long int]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:303:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:258:26:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Matrix<double, -1, -1>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:316:14:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:28, const auto:29&)> [with auto:28 = long int; auto:29 = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >]’
  316 |         dgemv(
      |         ~~~~~^
  317 |             mat_sq,
      |             ~~~~~~~
  318 |             _mask.col(i).transpose().template cast<value_t>().cwiseProduct(w.matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  319 |             1,
      |             ~~
  320 |             buff /* unused */,
      |             ~~~~~~~~~~~~~~~~~~
  321 |             out_m
      |             ~~~~~
  322 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)> [with auto:30 = long int]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:303:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:258:40:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Matrix<double, -1, -1>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |                                   ~     
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                           
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:316:14:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:28, const auto:29&)> [with auto:28 = long int; auto:29 = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >]’
  316 |         dgemv(
      |         ~~~~~^
  317 |             mat_sq,
      |             ~~~~~~~
  318 |             _mask.col(i).transpose().template cast<value_t>().cwiseProduct(w.matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  319 |             1,
      |             ~~
  320 |             buff /* unused */,
      |             ~~~~~~~~~~~~~~~~~~
  321 |             out_m
      |             ~~~~~
  322 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)> [with auto:30 = long int]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:303:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:46:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                                            ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_gated_relu.ipp:73:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexGatedReluDense<DenseType, MaskType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |         dgemv(
      |         ~~~~~^
   74 |             _mat.middleCols(k_d, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~
   75 |             _mask.col(k_m).transpose().template cast<value_t>().cwiseProduct((v * weights).matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   76 |             _n_threads,
      |             ~~~~~~~~~~~
   77 |             buff,
      |             ~~~~~
   78 |             out_m
      |             ~~~~~
   79 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_gated_relu.ipp:152:5:   required from ‘void adelie_core::matrix::MatrixNaiveConvexGatedReluDense<DenseType, MaskType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  152 |     _bmul(j, q, v, weights, out, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_gated_relu.ipp:144:1:   required from here
   10 |     MatrixNaiveConvexGatedReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:258:40:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |                                   ~     
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                           
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_gated_relu.ipp:73:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexGatedReluDense<DenseType, MaskType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |         dgemv(
      |         ~~~~~^
   74 |             _mat.middleCols(k_d, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~
   75 |             _mask.col(k_m).transpose().template cast<value_t>().cwiseProduct((v * weights).matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   76 |             _n_threads,
      |             ~~~~~~~~~~~
   77 |             buff,
      |             ~~~~~
   78 |             out_m
      |             ~~~~~
   79 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_gated_relu.ipp:152:5:   required from ‘void adelie_core::matrix::MatrixNaiveConvexGatedReluDense<DenseType, MaskType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  152 |     _bmul(j, q, v, weights, out, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_gated_relu.ipp:144:1:   required from here
   10 |     MatrixNaiveConvexGatedReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.ipp:314:16:   required from ‘void adelie_core::matrix::MatrixNaiveCConcatenate<ValueType, IndexType>::sp_tmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t>) const [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  314 |     out.setZero();
      |     ~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.ipp:306:1:   required from here
   10 |     MatrixNaiveCConcatenate<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>; U = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Derived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:50:27:   required from ‘typename adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::rvmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixConstraintBase<double, int>; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   50 |     return _mat.row(j).dot(v.matrix());
      |            ~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:45:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:57:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                                               ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:90:24:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   90 |             return ddot(
      |                    ~~~~^
   91 |                 (v * w).matrix(),
      |                 ~~~~~~~~~~~~~~~~~
   92 |                 (m_slice == index).template cast<value_t>().matrix(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   93 |                 n_threads,
      |                 ~~~~~~~~~~
   94 |                 buff
      |                 ~~~~    
   95 |             );
      |             ~           
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:334:12:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  334 |     return _cmul(j, v, weights, _n_threads, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:327:1:   required from here
   10 |     MatrixNaiveOneHotDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:41)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:41)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:41)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:41)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:41)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:41)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:41)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:37:46:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseNullaryOp<MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:41)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
   37 |         x1.segment(begin, size) += x2.segment(begin, size);
      |                                    ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:156:19:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  156 |             dvaddi(
      |             ~~~~~~^
  157 |                 out,
      |                 ~~~~
  158 |                 vec_value_t::NullaryExpr(_mat.rows(), [=](auto) {
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  159 |                     return v;
      |                     ~~~~~~~~~
  160 |                 }),
      |                 ~~~
  161 |                 n_threads
      |                 ~~~~~~~~~
  162 |             );
      |             ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:359:5:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  359 |     _ctmul(j, v, out, _n_threads);
      |     ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:352:1:   required from here
   10 |     MatrixNaiveOneHotDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:37:46:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; size_t = long unsigned int]’
   37 |         x1.segment(begin, size) += x2.segment(begin, size);
      |                                    ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:167:19:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  167 |             dvaddi(
      |             ~~~~~~^
  168 |                 out,
      |                 ~~~~
  169 |                 v * (m_slice == index).template cast<value_t>(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  170 |                 n_threads
      |                 ~~~~~~~~~
  171 |             );
      |             ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:359:5:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  359 |     _ctmul(j, v, out, _n_threads);
      |     ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:352:1:   required from here
   10 |     MatrixNaiveOneHotDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:42)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:42)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:42)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:42)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:42)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:42)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:42)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:37:46:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseNullaryOp<MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:42)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
   37 |         x1.segment(begin, size) += x2.segment(begin, size);
      |                                    ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:277:19:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  277 |             dvaddi(
      |             ~~~~~~^
  278 |                 out,
      |                 ~~~~
  279 |                 vec_value_t::NullaryExpr(_mat.rows(), [&](auto) {
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  280 |                     return v[0];
      |                     ~~~~~~~~~~~~
  281 |                 }),
      |                 ~~~
  282 |                 n_threads
      |                 ~~~~~~~~~
  283 |             );
      |             ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:429:9:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  429 |         _btmul(jj, slice, index, level, size, v_curr, out, _n_threads);
      |         ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:413:1:   required from here
   10 |     MatrixNaiveOneHotDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:43)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:43)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:43)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:43)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:43)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:43)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:43)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:37:46:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseNullaryOp<MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:43)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
   37 |         x1.segment(begin, size) += x2.segment(begin, size);
      |                                    ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:287:19:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  287 |             dvaddi(
      |             ~~~~~~^
  288 |                 out,
      |                 ~~~~
  289 |                 vec_value_t::NullaryExpr(_mat.rows(), [&](auto i) {
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  290 |                     const int k = _mat(i, slice);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  291 |                     return v[k];
      |                     ~~~~~~~~~~~~
  292 |                 }),
      |                 ~~~
  293 |                 n_threads
      |                 ~~~~~~~~~
  294 |             );
      |             ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:429:9:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  429 |         _btmul(jj, slice, index, level, size, v_curr, out, _n_threads);
      |         ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:413:1:   required from here
   10 |     MatrixNaiveOneHotDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:57:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                                               ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:112:32:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  112 |                     return ddot((v * w).matrix(), _mat.col(i0).cwiseProduct(_mat.col(i1)).transpose(), n_threads, buff);
      |                            ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:501:12:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  501 |     return _cmul(j, v, weights, _n_threads, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:494:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:57:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                                               ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:130:28:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  130 |                 return ddot(
      |                        ~~~~^
  131 |                     (v * w).matrix(),
      |                     ~~~~~~~~~~~~~~~~~
  132 |                     (mi1 * (mi0 == k0).template cast<value_t>()).matrix(),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  133 |                     n_threads,
      |                     ~~~~~~~~~~
  134 |                     buff
      |                     ~~~~    
  135 |                 );
      |                 ~           
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:501:12:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  501 |     return _cmul(j, v, weights, _n_threads, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:494:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:57:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                                               ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:163:24:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  163 |             return ddot(
      |                    ~~~~^
  164 |                 (v * w).matrix(),
      |                 ~~~~~~~~~~~~~~~~~
  165 |                 ((mi0 == k0) && (mi1 == k1)).template cast<value_t>().matrix(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  166 |                 n_threads,
      |                 ~~~~~~~~~~
  167 |                 buff
      |                 ~~~~    
  168 |             );
      |             ~           
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:501:12:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  501 |     return _cmul(j, v, weights, _n_threads, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:494:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:37:46:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; size_t = long unsigned int]’
   37 |         x1.segment(begin, size) += x2.segment(begin, size);
      |                                    ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:207:27:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  207 |                     dvaddi(out, v * _mat.col(i0).transpose().array() * _mat.col(i1).transpose().array(), n_threads);
      |                     ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:526:5:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  526 |     _ctmul(j, v, out, _n_threads);
      |     ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:519:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:37:46:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; size_t = long unsigned int]’
   37 |         x1.segment(begin, size) += x2.segment(begin, size);
      |                                    ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:224:23:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  224 |                 dvaddi(
      |                 ~~~~~~^
  225 |                     out,
      |                     ~~~~
  226 |                     v * mi1 * (mi0 == k0).template cast<value_t>(),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  227 |                     n_threads
      |                     ~~~~~~~~~
  228 |                 );
      |                 ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:526:5:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  526 |     _ctmul(j, v, out, _n_threads);
      |     ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:519:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:37:46:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; size_t = long unsigned int]’
   37 |         x1.segment(begin, size) += x2.segment(begin, size);
      |                                    ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:254:19:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  254 |             dvaddi(
      |             ~~~~~~^
  255 |                 out,
      |                 ~~~~
  256 |                 v * ((mi0 == k0) && (mi1 == k1)).template cast<value_t>(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  257 |                 n_threads
      |                 ~~~~~~~~~
  258 |             );
      |             ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:526:5:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  526 |     _ctmul(j, v, out, _n_threads);
      |     ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:519:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:29:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:296:26:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_bmul(int, int, int, int, int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  296 |             out[2] = ddot(_mat.col(i0).cwiseProduct(_mat.col(i1)), (v * w).matrix(), n_threads, buff);
      |                      ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:555:9:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  555 |         _bmul(jj, i0, i1, l0, l1, index, v, weights, out_curr, _buff, _n_threads);
      |         ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:531:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:37:46:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >; size_t = long unsigned int]’
   37 |         x1.segment(begin, size) += x2.segment(begin, size);
      |                                    ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:416:19:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  416 |             dvaddi(out, v[0] * mi0 + mi1 * (v[1] + v[2] * mi0), n_threads);
      |             ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:617:9:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  617 |         _btmul(jj, i0, i1, l0, l1, index, size, v_curr, out, _n_threads);
      |         ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:594:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:34)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:34)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:34)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:34)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:34)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:34)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:34)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:37:46:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseNullaryOp<MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:34)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
   37 |         x1.segment(begin, size) += x2.segment(begin, size);
      |                                    ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:420:19:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  420 |             dvaddi(
      |             ~~~~~~^
  421 |                 out,
      |                 ~~~~
  422 |                 vec_value_t::NullaryExpr(_mat.rows(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  423 |                     [&](auto i) {
      |                     ~~~~~~~~~~~~~
  424 |                         const int k0 = _mat(i, i0);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  425 |                         return v[k0] + v[l0 + k0] * _mat(i, i1);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  426 |                     }
      |                     ~
  427 |                 ),
      |                 ~~ 
  428 |                 n_threads
      |                 ~~~~~~~~~
  429 |             );
      |             ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:617:9:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  617 |         _btmul(jj, i0, i1, l0, l1, index, size, v_curr, out, _n_threads);
      |         ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:594:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:35)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:35)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:35)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:35)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:35)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:35)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:35)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:37:46:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseNullaryOp<MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:35)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
   37 |         x1.segment(begin, size) += x2.segment(begin, size);
      |                                    ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:433:19:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  433 |             dvaddi(
      |             ~~~~~~^
  434 |                 out,
      |                 ~~~~
  435 |                 vec_value_t::NullaryExpr(_mat.rows(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  436 |                     [&](auto i) {
      |                     ~~~~~~~~~~~~~
  437 |                         const int k1 = _mat(i, i1);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  438 |                         const auto b = _n_levels_cont * k1;
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |                         return v[b] + v[b+1] * _mat(i, i0);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  440 |                     }
      |                     ~
  441 |                 ),
      |                 ~~ 
  442 |                 n_threads
      |                 ~~~~~~~~~
  443 |             );
      |             ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:617:9:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  617 |         _btmul(jj, i0, i1, l0, l1, index, size, v_curr, out, _n_threads);
      |         ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:594:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:36)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:36)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:36)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:36)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:36)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:36)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:36)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:37:46:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseNullaryOp<MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:36)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
   37 |         x1.segment(begin, size) += x2.segment(begin, size);
      |                                    ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:447:19:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  447 |             dvaddi(
      |             ~~~~~~^
  448 |                 out,
      |                 ~~~~
  449 |                 vec_value_t::NullaryExpr(_mat.rows(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  450 |                     [&](auto i) {
      |                     ~~~~~~~~~~~~~
  451 |                         const int k0 = _mat(i, i0);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  452 |                         const int k1 = _mat(i, i1);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  453 |                         return v[k1 * l0 + k0];
      |                         ~~~~~~~~~~~~~~~~~~~~~~~
  454 |                     }
      |                     ~
  455 |                 ),
      |                 ~~ 
  456 |                 n_threads
      |                 ~~~~~~~~~
  457 |             );
      |             ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:617:9:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  617 |         _btmul(jj, i0, i1, l0, l1, index, size, v_curr, out, _n_threads);
      |         ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:594:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:346:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 1>::Scalar& Eigen::DenseCoeffsBase<Derived, 1>::coeffRef(Eigen::Index, Eigen::Index) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
  346 |       return internal::evaluator<Derived>(derived()).coeffRef(row,col);
      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:368:22:   required from ‘Eigen::DenseCoeffsBase<Derived, 1>::Scalar& Eigen::DenseCoeffsBase<Derived, 1>::operator()(Eigen::Index, Eigen::Index) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
  368 |       return coeffRef(row, col);
      |              ~~~~~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:726:23:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  726 |                 out_11(k0, k0) += wi;
      |                 ~~~~~~^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:663:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:349:72:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_sq_bmul(int, int, int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  349 |             out[2] = ddot(_mat.col(i0).cwiseProduct(_mat.col(i1)).array().square().matrix(), w.matrix(), n_threads, buff);
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:785:9:   required from ‘adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:38)> [with auto:38 = long int]’
  785 |         _sq_bmul(i0, i1, l0, l1, weights, out_curr, out /* unused */);
      |         ^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:38)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:787:27:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  787 |     util::omp_parallel_for(routine, 0, _outer.size()-1, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:768:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:349:81:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_sq_bmul(int, int, int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  349 |             out[2] = ddot(_mat.col(i0).cwiseProduct(_mat.col(i1)).array().square().matrix(), w.matrix(), n_threads, buff);
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:785:9:   required from ‘adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:38)> [with auto:38 = long int]’
  785 |         _sq_bmul(i0, i1, l0, l1, weights, out_curr, out /* unused */);
      |         ^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:38)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:787:27:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  787 |     util::omp_parallel_for(routine, 0, _outer.size()-1, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:768:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:349:90:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_sq_bmul(int, int, int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  349 |             out[2] = ddot(_mat.col(i0).cwiseProduct(_mat.col(i1)).array().square().matrix(), w.matrix(), n_threads, buff);
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:785:9:   required from ‘adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:38)> [with auto:38 = long int]’
  785 |         _sq_bmul(i0, i1, l0, l1, weights, out_curr, out /* unused */);
      |         ^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:38)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:787:27:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  787 |     util::omp_parallel_for(routine, 0, _outer.size()-1, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:768:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; Src = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Func = add_assign_op<double, double>]’
  883 |   ActualDstType actualDst(dst);
      |                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; Src = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_matrix.h:269:13:   required from ‘void adelie_core::matrix::MatrixNaiveS4<ValueType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  269 |         out += Rcpp::as<Eigen::Map<colvec_value_t>>(
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  270 |             ADELIE_CORE_S4_PURE_OVERRIDE(ctmul, _mat, j, v)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  271 |         );
      |         ~    
rcpp_matrix.h:263:10:   required from here
  263 |     void ctmul(
      |          ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; U = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Derived = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:144:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; X2Type = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  144 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:49:28:   required from ‘typename adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   49 |         (c == 0) ? 0 : ddot(v.matrix(), weights.matrix(), _n_threads, _buff)
      |                        ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:40:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; X2Type = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:49:28:   required from ‘typename adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   49 |         (c == 0) ? 0 : ddot(v.matrix(), weights.matrix(), _n_threads, _buff)
      |                        ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:40:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; U = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; Derived = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:144:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; X2Type = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; BuffType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’
  144 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:147:26:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  147 |     const auto vsc = ddot(
      |                      ~~~~^
  148 |         _centers.segment(j, q).matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  149 |         vs.matrix(),
      |         ~~~~~~~~~~~~      
  150 |         _n_threads,
      |         ~~~~~~~~~~~       
  151 |         buff
      |         ~~~~              
  152 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:134:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; X2Type = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; BuffType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:147:26:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  147 |     const auto vsc = ddot(
      |                      ~~~~^
  148 |         _centers.segment(j, q).matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  149 |         vs.matrix(),
      |         ~~~~~~~~~~~~      
  150 |         _n_threads,
      |         ~~~~~~~~~~~       
  151 |         buff
      |         ~~~~              
  152 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:134:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:160:35:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; X2Type = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; BuffType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’
  160 |     return buff.head(n_blocks).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:147:26:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  147 |     const auto vsc = ddot(
      |                      ~~~~^
  148 |         _centers.segment(j, q).matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  149 |         vs.matrix(),
      |         ~~~~~~~~~~~~      
  150 |         _n_threads,
      |         ~~~~~~~~~~~       
  151 |         buff
      |         ~~~~              
  152 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:134:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:29:114:   required from ‘static void Eigen::selfadjoint_rank1_update<Scalar, Index, 0, UpLo, ConjLhs, ConjRhs>::run(Index, Scalar*, Index, const Scalar*, const Scalar*, const Scalar&) [with Scalar = double; Index = long int; int UpLo = 1; bool ConjLhs = false; bool ConjRhs = false]’
   29 |     typedef typename internal::conditional<ConjLhs,typename OtherMap::ConjugateReturnType,const OtherMap&>::type ConjLhsType;
      |                                                                                                                  ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:78:16:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, true>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; OtherType = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
   75 |     selfadjoint_rank1_update<Scalar,Index,StorageOrder,UpLo,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   76 |                               OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   77 |                             (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex>
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   78 |           ::run(other.size(), mat.data(), mat.outerStride(), actualOtherPtr, actualOtherPtr, actualAlpha);
      |           ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:213:29:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) const [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  213 |         out_lower.rankUpdate(centers.matrix().transpose(), sqrt_weights.square().sum());
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:191:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:33:36:   required from ‘static void Eigen::selfadjoint_rank1_update<Scalar, Index, 0, UpLo, ConjLhs, ConjRhs>::run(Index, Scalar*, Index, const Scalar*, const Scalar*, const Scalar&) [with Scalar = double; Index = long int; int UpLo = 1; bool ConjLhs = false; bool ConjRhs = false]’
   33 |           += (alpha * cj(vecY[i])) * ConjLhsType(OtherMap(vecX+(UpLo==Lower ? i : 0),UpLo==Lower ? size-i : (i+1)));
      |              ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:78:16:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, true>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; OtherType = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
   75 |     selfadjoint_rank1_update<Scalar,Index,StorageOrder,UpLo,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   76 |                               OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   77 |                             (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex>
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   78 |           ::run(other.size(), mat.data(), mat.outerStride(), actualOtherPtr, actualOtherPtr, actualAlpha);
      |           ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:213:29:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) const [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  213 |         out_lower.rankUpdate(centers.matrix().transpose(), sqrt_weights.square().sum());
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:191:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:876:18:   required from ‘void adelie_core::matrix::snp_phased_ancestry_block_dot(const IOType&, int, int, const VType&, OutType&, size_t, BuffType&) [with IOType = adelie_core::io::IOSNPPhasedAncestry<std::shared_ptr<char> >; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; OutType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
  876 |     mbuff.setZero();
      |     ~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.ipp:118:34:   required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry<ValueType, MmapPtrType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr<char>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  118 |     snp_phased_ancestry_block_dot(
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  119 |         _io, j, q, v * weights, out, _n_threads, _buff
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  120 |     );
      |     ~                             
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.ipp:109:1:   required from here
   14 |     MatrixNaiveSNPPhasedAncestry<ValueType, MmapPtrType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Diagonal<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:391:7:   required from ‘Eigen::DenseCoeffsBase<Derived, 1>::Scalar& Eigen::DenseCoeffsBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Block<Eigen::Diagonal<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>; Scalar = double; Eigen::Index = long int]’
  391 |       EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
      |                                                         ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:411:22:   required from ‘Eigen::DenseCoeffsBase<Derived, 1>::Scalar& Eigen::DenseCoeffsBase<Derived, 1>::operator[](Eigen::Index) [with Derived = Eigen::Block<Eigen::Diagonal<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>; Scalar = double; Eigen::Index = long int]’
  411 |       return coeffRef(index);
      |              ~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:868:16:   required from ‘void adelie_core::matrix::snp_phased_ancestry_block_dot(const IOType&, int, int, const VType&, OutType&, size_t, BuffType&) [with IOType = adelie_core::io::IOSNPPhasedAncestry<std::shared_ptr<char> >; VType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; OutType = Eigen::VectorBlock<Eigen::Diagonal<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, -1>; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
  868 |             out[k] = snp_phased_ancestry_dot(io, j+k, v, n_threads, buff);
      |             ~~~^
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.ipp:220:46:   required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry<ValueType, MmapPtrType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) const [with ValueType = double; MmapPtrType = std::shared_ptr<char>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  220 |                 snp_phased_ancestry_block_dot(
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  221 |                     _io, begin0, a_size, sqrt_weights.square(), out_diag, _n_threads, buff
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  222 |                 );
      |                 ~                             
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.ipp:169:1:   required from here
   14 |     MatrixNaiveSNPPhasedAncestry<ValueType, MmapPtrType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:144:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’
  144 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:379:16:   required from ‘auto adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  379 |     return ddot(V.col(l).cwiseProduct(W.col(l)), _mat.col(i), _n_threads, vbuff);
      |            ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:441:12:   required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  441 |     return _cmul(j, v, weights, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:434:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:379:16:   required from ‘auto adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  379 |     return ddot(V.col(l).cwiseProduct(W.col(l)), _mat.col(i), _n_threads, vbuff);
      |            ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:441:12:   required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  441 |     return _cmul(j, v, weights, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:434:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:160:35:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’
  160 |     return buff.head(n_blocks).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:379:16:   required from ‘auto adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  379 |     return ddot(V.col(l).cwiseProduct(W.col(l)), _mat.col(i), _n_threads, vbuff);
      |            ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:441:12:   required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  441 |     return _cmul(j, v, weights, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:434:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:330:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
   72 |     typedef blas_data_mapper<typename Traits::ResScalar, Index, ColMajor, Unaligned, ResInnerStride> ResMapper;
      |                                                                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:581:65:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  581 |         XTWX.template selfadjointView<Eigen::Lower>().rankUpdate(sqrt_WX.transpose());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:547:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
 1080 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
   92 |     gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
      |                                                                                                             ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:581:65:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  581 |         XTWX.template selfadjointView<Eigen::Lower>().rankUpdate(sqrt_WX.transpose());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:547:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
 1085 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
   92 |     gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
      |                                                                                                             ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:581:65:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  581 |         XTWX.template selfadjointView<Eigen::Lower>().rankUpdate(sqrt_WX.transpose());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:547:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; U = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Derived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:144:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; size_t = long unsigned int]’
  144 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:33:16:   required from ‘typename adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   33 |     return ddot(_mat.col(j), (v * weights).matrix(), _n_threads, vbuff);
      |            ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:25:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:33:16:   required from ‘typename adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   33 |     return ddot(_mat.col(j), (v * weights).matrix(), _n_threads, vbuff);
      |            ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:25:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:33:16:   required from ‘typename adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   33 |     return ddot(_mat.col(j), (v * weights).matrix(), _n_threads, vbuff);
      |            ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:25:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; U = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:144:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  144 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:179:25:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  179 |         out(0, 0) = ddot(sqrt_w_mj, sqrt_w_mj, _n_threads, vbuff);
      |                     ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:164:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:179:25:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  179 |         out(0, 0) = ddot(sqrt_w_mj, sqrt_w_mj, _n_threads, vbuff);
      |                     ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:164:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; U = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:144:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; size_t = long unsigned int]’
  144 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:24:30:   required from ‘auto adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   24 |     return (1-2*j_sgn) * ddot(
      |                          ~~~~^
   25 |         _mat.col(j_d).cwiseProduct(_mask.col(j_m).template cast<value_t>()),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   26 |         (v * weights).matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~
   27 |         _n_threads,
      |         ~~~~~~~~~~~           
   28 |         buff
      |         ~~~~                  
   29 |     );
      |     ~                         
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:121:12:   required from ‘typename adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  121 |     return _cmul(j, v, weights, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:114:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; U = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:144:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; size_t = long unsigned int]’
  144 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:24:30:   required from ‘auto adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   24 |     return (1-2*j_sgn) * ddot(
      |                          ~~~~^
   25 |         _mat.col(j_d).cwiseProduct(_mask.col(j_m).template cast<value_t>()),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   26 |         (v * weights).matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~
   27 |         _n_threads,
      |         ~~~~~~~~~~~           
   28 |         buff
      |         ~~~~                  
   29 |     );
      |     ~                         
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:121:12:   required from ‘typename adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  121 |     return _cmul(j, v, weights, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:114:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:24:30:   required from ‘auto adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   24 |     return (1-2*j_sgn) * ddot(
      |                          ~~~~^
   25 |         _mat.col(j_d).cwiseProduct(_mask.col(j_m).template cast<value_t>()),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   26 |         (v * weights).matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~
   27 |         _n_threads,
      |         ~~~~~~~~~~~           
   28 |         buff
      |         ~~~~                  
   29 |     );
      |     ~                         
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:121:12:   required from ‘typename adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  121 |     return _cmul(j, v, weights, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:114:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:24:30:   required from ‘auto adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   24 |     return (1-2*j_sgn) * ddot(
      |                          ~~~~^
   25 |         _mat.col(j_d).cwiseProduct(_mask.col(j_m).template cast<value_t>()),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   26 |         (v * weights).matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~
   27 |         _n_threads,
      |         ~~~~~~~~~~~           
   28 |         buff
      |         ~~~~                  
   29 |     );
      |     ~                         
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:121:12:   required from ‘typename adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  121 |     return _cmul(j, v, weights, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:114:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; U = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:144:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; size_t = long unsigned int]’
  144 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:501:29:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  501 |             out(0, 0) = ddot(sqrt_w_mi, sqrt_w_mi, _n_threads, buff);
      |                         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:468:1:   required from here
   10 |     MatrixNaiveOneHotDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:501:29:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  501 |             out(0, 0) = ddot(sqrt_w_mi, sqrt_w_mi, _n_threads, buff);
      |                         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:468:1:   required from here
   10 |     MatrixNaiveOneHotDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; U = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:144:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
  144 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:703:29:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  703 |             out(0, 0) = ddot(w.matrix(), mi0.square().matrix(), _n_threads, buff);
      |                         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:663:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:703:29:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  703 |             out(0, 0) = ddot(w.matrix(), mi0.square().matrix(), _n_threads, buff);
      |                         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:663:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:703:29:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  703 |             out(0, 0) = ddot(w.matrix(), mi0.square().matrix(), _n_threads, buff);
      |                         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:663:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; U = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:144:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
  144 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:704:29:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  704 |             out(1, 0) = ddot(w.matrix(), (mi0 * mi1).matrix(), _n_threads, buff);
      |                         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:663:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:704:29:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  704 |             out(1, 0) = ddot(w.matrix(), (mi0 * mi1).matrix(), _n_threads, buff);
      |                         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:663:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; U = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:144:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
  144 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:706:29:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  706 |             out(2, 0) = ddot(w.matrix(), (mi0.square() * mi1).matrix(), _n_threads, buff);
      |                         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:663:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:706:29:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  706 |             out(2, 0) = ddot(w.matrix(), (mi0.square() * mi1).matrix(), _n_threads, buff);
      |                         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:663:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; U = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Derived = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:144:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
  144 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:708:29:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  708 |             out(2, 2) = ddot(w.matrix(), (mi0 * mi1).square().matrix(), _n_threads, buff);
      |                         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:663:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:708:29:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  708 |             out(2, 2) = ddot(w.matrix(), (mi0 * mi1).square().matrix(), _n_threads, buff);
      |                         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:663:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:29:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; X2Type = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:349:26:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_sq_bmul(int, int, int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  349 |             out[2] = ddot(_mat.col(i0).cwiseProduct(_mat.col(i1)).array().square().matrix(), w.matrix(), n_threads, buff);
      |                      ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:785:9:   required from ‘adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:38)> [with auto:38 = long int]’
  785 |         _sq_bmul(i0, i1, l0, l1, weights, out_curr, out /* unused */);
      |         ^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:38)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:787:27:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  787 |     util::omp_parallel_for(routine, 0, _outer.size()-1, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:768:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:213:85:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) const [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  213 |         out_lower.rankUpdate(centers.matrix().transpose(), sqrt_weights.square().sum());
      |                                                            ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:191:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:744:21:   required from ‘auto adelie_core::matrix::snp_phased_ancestry_dot(const IOType&, int, const VType&, size_t, BuffType&) [with IOType = adelie_core::io::IOSNPPhasedAncestry<std::shared_ptr<char> >; VType = Eigen::CwiseNullaryOp<MatrixNaiveSNPPhasedAncestry<double, std::shared_ptr<char>, int>::cov(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >) const::<lambda(auto:49)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
  744 |     return vbuff.sum();
      |            ~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.ipp:284:61:   required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry<ValueType, MmapPtrType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) const [with ValueType = double; MmapPtrType = std::shared_ptr<char>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  284 |                     const auto sum = snp_phased_ancestry_dot(
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~^
  285 |                         _io, begin1 + a1,
      |                         ~~~~~~~~~~~~~~~~~                    
  286 |                         vec_value_t::NullaryExpr(sqrt_weights.size(), [&](auto i) {
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  287 |                             const auto sqrt_wi = sqrt_weights[i];
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  288 |                             return sqrt_wi * sqrt_wi * bbuff[i];
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  289 |                         }),
      |                         ~~~                                  
  290 |                         _n_threads,
      |                         ~~~~~~~~~~~                          
  291 |                         buff
      |                         ~~~~                                 
  292 |                     );
      |                     ~                                        
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.ipp:169:1:   required from here
   14 |     MatrixNaiveSNPPhasedAncestry<ValueType, MmapPtrType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
  100 |       pack_rhs(blockB, rhs.getSubMapper(k2,0), actual_kc, size);
      |       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:581:65:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  581 |         XTWX.template selfadjointView<Eigen::Lower>().rankUpdate(sqrt_WX.transpose());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:547:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
  106 |         pack_lhs(blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc);
      |         ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:581:65:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  581 |         XTWX.template selfadjointView<Eigen::Lower>().rankUpdate(sqrt_WX.transpose());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:547:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2256 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2258 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2259 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2298 |               PacketBlock<HalfPacket> kernel_half;
      |                                       ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2304 |               PacketBlock<QuarterPacket> kernel_quarter;
      |                                          ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
  113 |           gebp(res.getSubMapper(i2, 0), blockA, blockB, actual_mc, actual_kc,
      |           ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  114 |                (std::min)(size,i2), alpha, -1, -1, 0, 0);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:581:65:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  581 |         XTWX.template selfadjointView<Eigen::Lower>().rankUpdate(sqrt_WX.transpose());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:547:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 16>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 4>’
  178 | class Matrix
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from ‘void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’
  155 |     Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
      |                                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:581:65:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  581 |         XTWX.template selfadjointView<Eigen::Lower>().rankUpdate(sqrt_WX.transpose());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:547:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from ‘void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’
  155 |     Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
      |                                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:581:65:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  581 |         XTWX.template selfadjointView<Eigen::Lower>().rankUpdate(sqrt_WX.transpose());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:547:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>; Func = assign_op<double, double>]’
  883 |   ActualDstType actualDst(dst);
      |                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:674:26:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::sp_tmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  674 |             out_k.col(l) = _out.row(k);
      |             ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:627:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; Src = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Func = add_assign_op<double, double>]’
  883 |   ActualDstType actualDst(dst);
      |                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; Src = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:23:12:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’
   23 |         x1 += x2;
      |         ~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:84:11:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   84 |     dvaddi(Out_l, _out, _n_threads);
      |     ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:70:1:   required from here
   10 |     MatrixNaiveKroneckerEye<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; Src = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = add_assign_op<double, double>]’
  883 |   ActualDstType actualDst(dst);
      |                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; Src = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:37:33:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’
   37 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:84:11:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   84 |     dvaddi(Out_l, _out, _n_threads);
      |     ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:70:1:   required from here
   10 |     MatrixNaiveKroneckerEye<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Array<double, 1, -1, 1, 1, -1>; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Array<double, 1, -1, 1, 1, -1>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Array<double, 1, -1, 1, 1, -1> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.ipp:477:20:   required from ‘typename adelie_core::matrix::MatrixNaiveRConcatenate<ValueType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveRConcatenate<ValueType, IndexType>::cmul_safe(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&) const [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  477 |     return buff.sum();
      |            ~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.ipp:456:1:   required from here
   19 |     MatrixNaiveRConcatenate<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; Func = add_assign_op<double, double>]’
  883 |   ActualDstType actualDst(dst);
      |                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:37:33:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; size_t = long unsigned int]’
   37 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.ipp:61:19:   required from ‘void adelie_core::matrix::MatrixCovDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   61 |             dvaddi(out, v * _mat.col(i).array(), _n_threads);
      |             ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.ipp:47:1:   required from here
   10 |     MatrixCovDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>; U = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Derived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:50:27:   required from ‘typename adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::rvmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixConstraintBase<double, int>; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   50 |     return _mat.row(j).dot(v.matrix());
      |            ~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:45:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:144:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  144 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:81:24:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   81 |             return ddot((v * w).matrix(), _mat.col(slice), n_threads, buff);
      |                    ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:334:12:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  334 |     return _cmul(j, v, weights, _n_threads, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:327:1:   required from here
   10 |     MatrixNaiveOneHotDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:144:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  144 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:81:24:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   81 |             return ddot((v * w).matrix(), _mat.col(slice), n_threads, buff);
      |                    ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:334:12:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  334 |     return _cmul(j, v, weights, _n_threads, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:327:1:   required from here
   10 |     MatrixNaiveOneHotDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:81:24:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   81 |             return ddot((v * w).matrix(), _mat.col(slice), n_threads, buff);
      |                    ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:334:12:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  334 |     return _cmul(j, v, weights, _n_threads, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:327:1:   required from here
   10 |     MatrixNaiveOneHotDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:81:24:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   81 |             return ddot((v * w).matrix(), _mat.col(slice), n_threads, buff);
      |                    ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:334:12:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  334 |     return _cmul(j, v, weights, _n_threads, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:327:1:   required from here
   10 |     MatrixNaiveOneHotDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; U = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:144:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  144 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:90:24:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   90 |             return ddot(
      |                    ~~~~^
   91 |                 (v * w).matrix(),
      |                 ~~~~~~~~~~~~~~~~~
   92 |                 (m_slice == index).template cast<value_t>().matrix(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   93 |                 n_threads,
      |                 ~~~~~~~~~~
   94 |                 buff
      |                 ~~~~    
   95 |             );
      |             ~           
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:334:12:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  334 |     return _cmul(j, v, weights, _n_threads, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:327:1:   required from here
   10 |     MatrixNaiveOneHotDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:90:24:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   90 |             return ddot(
      |                    ~~~~^
   91 |                 (v * w).matrix(),
      |                 ~~~~~~~~~~~~~~~~~
   92 |                 (m_slice == index).template cast<value_t>().matrix(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   93 |                 n_threads,
      |                 ~~~~~~~~~~
   94 |                 buff
      |                 ~~~~    
   95 |             );
      |             ~           
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:334:12:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  334 |     return _cmul(j, v, weights, _n_threads, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:327:1:   required from here
   10 |     MatrixNaiveOneHotDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; U = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:144:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  144 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:104:32:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  104 |                     return ddot((v * w).matrix(), _mat.col(i0).transpose(), n_threads, buff);
      |                            ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:501:12:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  501 |     return _cmul(j, v, weights, _n_threads, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:494:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:104:32:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  104 |                     return ddot((v * w).matrix(), _mat.col(i0).transpose(), n_threads, buff);
      |                            ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:501:12:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  501 |     return _cmul(j, v, weights, _n_threads, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:494:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; U = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:144:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  144 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:112:32:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  112 |                     return ddot((v * w).matrix(), _mat.col(i0).cwiseProduct(_mat.col(i1)).transpose(), n_threads, buff);
      |                            ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:501:12:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  501 |     return _cmul(j, v, weights, _n_threads, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:494:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:112:32:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  112 |                     return ddot((v * w).matrix(), _mat.col(i0).cwiseProduct(_mat.col(i1)).transpose(), n_threads, buff);
      |                            ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:501:12:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  501 |     return _cmul(j, v, weights, _n_threads, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:494:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; U = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:144:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  144 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:130:28:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  130 |                 return ddot(
      |                        ~~~~^
  131 |                     (v * w).matrix(),
      |                     ~~~~~~~~~~~~~~~~~
  132 |                     (mi1 * (mi0 == k0).template cast<value_t>()).matrix(),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  133 |                     n_threads,
      |                     ~~~~~~~~~~
  134 |                     buff
      |                     ~~~~    
  135 |                 );
      |                 ~           
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:501:12:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  501 |     return _cmul(j, v, weights, _n_threads, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:494:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:130:28:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  130 |                 return ddot(
      |                        ~~~~^
  131 |                     (v * w).matrix(),
      |                     ~~~~~~~~~~~~~~~~~
  132 |                     (mi1 * (mi0 == k0).template cast<value_t>()).matrix(),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  133 |                     n_threads,
      |                     ~~~~~~~~~~
  134 |                     buff
      |                     ~~~~    
  135 |                 );
      |                 ~           
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:501:12:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  501 |     return _cmul(j, v, weights, _n_threads, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:494:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; U = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:144:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  144 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:163:24:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  163 |             return ddot(
      |                    ~~~~^
  164 |                 (v * w).matrix(),
      |                 ~~~~~~~~~~~~~~~~~
  165 |                 ((mi0 == k0) && (mi1 == k1)).template cast<value_t>().matrix(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  166 |                 n_threads,
      |                 ~~~~~~~~~~
  167 |                 buff
      |                 ~~~~    
  168 |             );
      |             ~           
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:501:12:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  501 |     return _cmul(j, v, weights, _n_threads, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:494:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:163:24:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  163 |             return ddot(
      |                    ~~~~^
  164 |                 (v * w).matrix(),
      |                 ~~~~~~~~~~~~~~~~~
  165 |                 ((mi0 == k0) && (mi1 == k1)).template cast<value_t>().matrix(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  166 |                 n_threads,
      |                 ~~~~~~~~~~
  167 |                 buff
      |                 ~~~~    
  168 |             );
      |             ~           
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:501:12:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  501 |     return _cmul(j, v, weights, _n_threads, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:494:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; U = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:144:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’
  144 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:296:26:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_bmul(int, int, int, int, int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  296 |             out[2] = ddot(_mat.col(i0).cwiseProduct(_mat.col(i1)), (v * w).matrix(), n_threads, buff);
      |                      ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:555:9:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  555 |         _bmul(jj, i0, i1, l0, l1, index, v, weights, out_curr, _buff, _n_threads);
      |         ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:531:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:296:26:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_bmul(int, int, int, int, int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  296 |             out[2] = ddot(_mat.col(i0).cwiseProduct(_mat.col(i1)), (v * w).matrix(), n_threads, buff);
      |                      ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:555:9:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  555 |         _bmul(jj, i0, i1, l0, l1, index, v, weights, out_curr, _buff, _n_threads);
      |         ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:531:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:296:26:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_bmul(int, int, int, int, int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  296 |             out[2] = ddot(_mat.col(i0).cwiseProduct(_mat.col(i1)), (v * w).matrix(), n_threads, buff);
      |                      ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:555:9:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  555 |         _bmul(jj, i0, i1, l0, l1, index, v, weights, out_curr, _buff, _n_threads);
      |         ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:531:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; X2Type = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:49:28:   required from ‘typename adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   49 |         (c == 0) ? 0 : ddot(v.matrix(), weights.matrix(), _n_threads, _buff)
      |                        ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:40:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; X2Type = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; BuffType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:147:26:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  147 |     const auto vsc = ddot(
      |                      ~~~~^
  148 |         _centers.segment(j, q).matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  149 |         vs.matrix(),
      |         ~~~~~~~~~~~~      
  150 |         _n_threads,
      |         ~~~~~~~~~~~       
  151 |         buff
      |         ~~~~              
  152 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:134:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; X2Type = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; BuffType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:147:26:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  147 |     const auto vsc = ddot(
      |                      ~~~~^
  148 |         _centers.segment(j, q).matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  149 |         vs.matrix(),
      |         ~~~~~~~~~~~~      
  150 |         _n_threads,
      |         ~~~~~~~~~~~       
  151 |         buff
      |         ~~~~              
  152 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:134:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false>; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:160:35:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; X2Type = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; BuffType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’
  160 |     return buff.head(n_blocks).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:147:26:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  147 |     const auto vsc = ddot(
      |                      ~~~~^
  148 |         _centers.segment(j, q).matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  149 |         vs.matrix(),
      |         ~~~~~~~~~~~~      
  150 |         _n_threads,
      |         ~~~~~~~~~~~       
  151 |         buff
      |         ~~~~              
  152 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:134:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:476:35:   required from ‘auto adelie_core::matrix::spddot(const InnerType&, const ValueType&, const DenseType&, size_t, BuffType&) [with InnerType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; ValueType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; DenseType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
  476 |     return buff.head(n_blocks).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.ipp:26:18:   required from ‘typename adelie_core::matrix::MatrixNaiveSparse<SparseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveSparse<SparseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with SparseType = Eigen::SparseMatrix<double, 0, int>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   26 |     return spddot(inner, value, v * weights, n_threads, buff);
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.ipp:97:12:   required from ‘typename adelie_core::matrix::MatrixNaiveSparse<SparseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveSparse<SparseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with SparseType = Eigen::SparseMatrix<double, 0, int>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   97 |     return _cmul(j, v, weights, _n_threads, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.ipp:90:1:   required from here
   10 |     MatrixNaiveSparse<SparseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:144:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’
  144 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:379:16:   required from ‘auto adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  379 |     return ddot(V.col(l).cwiseProduct(W.col(l)), _mat.col(i), _n_threads, vbuff);
      |            ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:441:12:   required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  441 |     return _cmul(j, v, weights, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:434:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:144:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’
  144 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:379:16:   required from ‘auto adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  379 |     return ddot(V.col(l).cwiseProduct(W.col(l)), _mat.col(i), _n_threads, vbuff);
      |            ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:441:12:   required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  441 |     return _cmul(j, v, weights, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:434:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:379:16:   required from ‘auto adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  379 |     return ddot(V.col(l).cwiseProduct(W.col(l)), _mat.col(i), _n_threads, vbuff);
      |            ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:441:12:   required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  441 |     return _cmul(j, v, weights, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:434:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:379:16:   required from ‘auto adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  379 |     return ddot(V.col(l).cwiseProduct(W.col(l)), _mat.col(i), _n_threads, vbuff);
      |            ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:441:12:   required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  441 |     return _cmul(j, v, weights, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:434:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:160:35:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’
  160 |     return buff.head(n_blocks).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:379:16:   required from ‘auto adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  379 |     return ddot(V.col(l).cwiseProduct(W.col(l)), _mat.col(i), _n_threads, vbuff);
      |            ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:441:12:   required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  441 |     return _cmul(j, v, weights, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:434:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:541:19:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  541 |     Out.noalias() = _mat.transpose() * VW;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:527:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:541:19:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  541 |     Out.noalias() = _mat.transpose() * VW;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:527:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:541:19:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  541 |     Out.noalias() = _mat.transpose() * VW;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:527:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:541:19:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  541 |     Out.noalias() = _mat.transpose() * VW;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:527:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:621:19:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  621 |     Out.noalias() = _mat.array().square().matrix().transpose() * W;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:610:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:621:19:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  621 |     Out.noalias() = _mat.array().square().matrix().transpose() * W;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:610:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:621:19:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  621 |     Out.noalias() = _mat.array().square().matrix().transpose() * W;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:610:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:621:19:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  621 |     Out.noalias() = _mat.array().square().matrix().transpose() * W;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:610:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Derived = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:83:12:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; X2Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; size_t = long unsigned int]’
   83 |         x1 = x2;
      |         ~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:42:10:   required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   42 |     dvveq(_v, V.col(l), _n_threads);
      |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:29:1:   required from here
   10 |     MatrixNaiveKroneckerEye<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Derived = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:97:33:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; X2Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; size_t = long unsigned int]’
   97 |         x1.segment(begin, size) = x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:42:10:   required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   42 |     dvveq(_v, V.col(l), _n_threads);
      |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:29:1:   required from here
   10 |     MatrixNaiveKroneckerEye<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Src = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Src = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:83:12:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::VectorBlock<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>; X2Type = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’
   83 |         x1 = x2;
      |         ~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:114:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  114 |         dvveq(Out_curr, _out, _n_threads);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:89:1:   required from here
   10 |     MatrixNaiveKroneckerEye<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Src = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Src = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:97:33:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::VectorBlock<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>; X2Type = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’
   97 |         x1.segment(begin, size) = x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:114:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  114 |         dvveq(Out_curr, _out, _n_threads);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:89:1:   required from here
   10 |     MatrixNaiveKroneckerEye<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:33:16:   required from ‘typename adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   33 |     return ddot(_mat.col(j), (v * weights).matrix(), _n_threads, vbuff);
      |            ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:25:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:179:25:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  179 |         out(0, 0) = ddot(sqrt_w_mj, sqrt_w_mj, _n_threads, vbuff);
      |                     ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:164:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 0, int>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> > >’
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 0, int> >’
 1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:79:45:   required from ‘void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix<double, 0, int>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >]’
   79 |   const bool transpose = (DstEvaluatorType::Flags & RowMajorBit) != (SrcEvaluatorType::Flags & RowMajorBit);
      |                                             ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::SparseMatrix<double, 0, int>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op<double, double>; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]’
  132 |     assign_sparse_to_sparse(dst.derived(), src.derived());
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16:   required from ‘Derived& Eigen::SparseMatrixBase<Derived>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::SparseMatrix<double, 0, int>]’
   37 |   internal::Assignment<Derived,OtherDerived,internal::assign_op<Scalar,typename OtherDerived::Scalar> >
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |           ::run(derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |           ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27:   required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
 1239 |     return Base::operator=(other.derived());
      |            ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:689:15:   required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
  689 |         *this = other.derived();
      |         ~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:644:77:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluSparse<SparseType, MaskType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with SparseType = Eigen::SparseMatrix<double, 0, int>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  644 |     Eigen::SparseMatrix<value_t, Eigen::ColMajor> mat_sq = _mat.cwiseProduct(_mat);
      |                                                            ~~~~~~~~~~~~~~~~~^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:637:1:   required from here
   19 |     MatrixNaiveConvexReluSparse<SparseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:24:30:   required from ‘auto adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   24 |     return (1-2*j_sgn) * ddot(
      |                          ~~~~^
   25 |         _mat.col(j_d).cwiseProduct(_mask.col(j_m).template cast<value_t>()),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   26 |         (v * weights).matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~
   27 |         _n_threads,
      |         ~~~~~~~~~~~           
   28 |         buff
      |         ~~~~                  
   29 |     );
      |     ~                         
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:121:12:   required from ‘typename adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  121 |     return _cmul(j, v, weights, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:114:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:145:37:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Sparse2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; SrcXprType = Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  145 |     internal::evaluator<SrcXprType> srcEval(src);
      |                                     ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::SparseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:75:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
   75 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_sparse.ipp:82:9:   required from ‘void adelie_core::matrix::MatrixCovSparse<SparseType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with SparseType = Eigen::SparseMatrix<double, 0, int>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   82 |     out = _mat.block(i, i, p, p);
      |     ~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_sparse.ipp:76:1:   required from here
   10 |     MatrixCovSparse<SparseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:171:29:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  171 |             out_m.noalias() = X_block.transpose() * Xk;
      |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:156:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:171:29:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  171 |             out_m.noalias() = X_block.transpose() * Xk;
      |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:156:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:171:29:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  171 |             out_m.noalias() = X_block.transpose() * Xk;
      |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:156:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:171:29:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  171 |             out_m.noalias() = X_block.transpose() * Xk;
      |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:156:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:171:29:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  171 |             out_m.noalias() = X_block.transpose() * Xk;
      |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:156:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:171:29:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  171 |             out_m.noalias() = X_block.transpose() * Xk;
      |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:156:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:171:29:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  171 |             out_m.noalias() = X_block.transpose() * Xk;
      |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:156:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:171:29:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  171 |             out_m.noalias() = X_block.transpose() * Xk;
      |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:156:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Scalar = double]’
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:171:29:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  171 |             out_m.noalias() = X_block.transpose() * Xk;
      |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:156:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:19:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:19:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:19:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:19:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:19:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:19:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:19:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; Scalar = double]’
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:19:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:501:29:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  501 |             out(0, 0) = ddot(sqrt_w_mi, sqrt_w_mi, _n_threads, buff);
      |                         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:468:1:   required from here
   10 |     MatrixNaiveOneHotDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:703:29:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  703 |             out(0, 0) = ddot(w.matrix(), mi0.square().matrix(), _n_threads, buff);
      |                         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:663:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:703:29:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  703 |             out(0, 0) = ddot(w.matrix(), mi0.square().matrix(), _n_threads, buff);
      |                         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:663:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:704:29:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  704 |             out(1, 0) = ddot(w.matrix(), (mi0 * mi1).matrix(), _n_threads, buff);
      |                         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:663:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:706:29:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  706 |             out(2, 0) = ddot(w.matrix(), (mi0.square() * mi1).matrix(), _n_threads, buff);
      |                         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:663:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:708:29:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  708 |             out(2, 2) = ddot(w.matrix(), (mi0 * mi1).square().matrix(), _n_threads, buff);
      |                         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:663:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:144:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; X2Type = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; size_t = long unsigned int]’
  144 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:347:26:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_sq_bmul(int, int, int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  347 |             out[0] = ddot(_mat.col(i0).array().square().matrix(), w.matrix(), n_threads, buff);
      |                      ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:785:9:   required from ‘adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:38)> [with auto:38 = long int]’
  785 |         _sq_bmul(i0, i1, l0, l1, weights, out_curr, out /* unused */);
      |         ^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:38)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:787:27:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  787 |     util::omp_parallel_for(routine, 0, _outer.size()-1, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:768:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:144:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; X2Type = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; size_t = long unsigned int]’
  144 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:347:26:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_sq_bmul(int, int, int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  347 |             out[0] = ddot(_mat.col(i0).array().square().matrix(), w.matrix(), n_threads, buff);
      |                      ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:785:9:   required from ‘adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:38)> [with auto:38 = long int]’
  785 |         _sq_bmul(i0, i1, l0, l1, weights, out_curr, out /* unused */);
      |         ^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:38)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:787:27:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  787 |     util::omp_parallel_for(routine, 0, _outer.size()-1, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:768:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; X2Type = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:347:26:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_sq_bmul(int, int, int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  347 |             out[0] = ddot(_mat.col(i0).array().square().matrix(), w.matrix(), n_threads, buff);
      |                      ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:785:9:   required from ‘adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:38)> [with auto:38 = long int]’
  785 |         _sq_bmul(i0, i1, l0, l1, weights, out_curr, out /* unused */);
      |         ^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:38)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:787:27:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  787 |     util::omp_parallel_for(routine, 0, _outer.size()-1, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:768:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; X2Type = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:347:26:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_sq_bmul(int, int, int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  347 |             out[0] = ddot(_mat.col(i0).array().square().matrix(), w.matrix(), n_threads, buff);
      |                      ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:785:9:   required from ‘adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:38)> [with auto:38 = long int]’
  785 |         _sq_bmul(i0, i1, l0, l1, weights, out_curr, out /* unused */);
      |         ^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:38)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:787:27:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  787 |     util::omp_parallel_for(routine, 0, _outer.size()-1, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:768:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:144:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; X2Type = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; size_t = long unsigned int]’
  144 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:349:26:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_sq_bmul(int, int, int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  349 |             out[2] = ddot(_mat.col(i0).cwiseProduct(_mat.col(i1)).array().square().matrix(), w.matrix(), n_threads, buff);
      |                      ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:785:9:   required from ‘adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:38)> [with auto:38 = long int]’
  785 |         _sq_bmul(i0, i1, l0, l1, weights, out_curr, out /* unused */);
      |         ^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:38)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:787:27:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  787 |     util::omp_parallel_for(routine, 0, _outer.size()-1, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:768:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:144:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; X2Type = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; size_t = long unsigned int]’
  144 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:349:26:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_sq_bmul(int, int, int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  349 |             out[2] = ddot(_mat.col(i0).cwiseProduct(_mat.col(i1)).array().square().matrix(), w.matrix(), n_threads, buff);
      |                      ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:785:9:   required from ‘adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:38)> [with auto:38 = long int]’
  785 |         _sq_bmul(i0, i1, l0, l1, weights, out_curr, out /* unused */);
      |         ^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:38)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:787:27:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  787 |     util::omp_parallel_for(routine, 0, _outer.size()-1, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:768:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; X2Type = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:349:26:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_sq_bmul(int, int, int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  349 |             out[2] = ddot(_mat.col(i0).cwiseProduct(_mat.col(i1)).array().square().matrix(), w.matrix(), n_threads, buff);
      |                      ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:785:9:   required from ‘adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:38)> [with auto:38 = long int]’
  785 |         _sq_bmul(i0, i1, l0, l1, weights, out_curr, out /* unused */);
      |         ^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:38)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:787:27:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  787 |     util::omp_parallel_for(routine, 0, _outer.size()-1, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:768:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; X2Type = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:349:26:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_sq_bmul(int, int, int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  349 |             out[2] = ddot(_mat.col(i0).cwiseProduct(_mat.col(i1)).array().square().matrix(), w.matrix(), n_threads, buff);
      |                      ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:785:9:   required from ‘adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:38)> [with auto:38 = long int]’
  785 |         _sq_bmul(i0, i1, l0, l1, weights, out_curr, out /* unused */);
      |         ^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:38)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:787:27:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  787 |     util::omp_parallel_for(routine, 0, _outer.size()-1, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:768:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.ipp:537:20:   required from ‘void adelie_core::matrix::MatrixNaiveRSubset<ValueType, IndexType>::sp_tmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t>) const [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  537 |         out.col(i) = _out.col(_subset[i]);
      |         ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.ipp:526:1:   required from here
   19 |     MatrixNaiveRSubset<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.ipp:537:20:   required from ‘void adelie_core::matrix::MatrixNaiveRSubset<ValueType, IndexType>::sp_tmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t>) const [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  537 |         out.col(i) = _out.col(_subset[i]);
      |         ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.ipp:526:1:   required from here
   19 |     MatrixNaiveRSubset<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:55)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:55)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:55)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:55)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:55)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:181:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator-=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:55)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
  181 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:67:33:   required from ‘void adelie_core::matrix::dvsubi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseNullaryOp<MatrixNaiveStandardize<double, int>::ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:55)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
   67 |         x1.segment(begin, size) -= x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:84:11:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   84 |     dvsubi(
      |     ~~~~~~^
   85 |         out,
      |         ~~~~
   86 |         vec_value_t::NullaryExpr(out.size(), [&](auto) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   87 |             return vsc;
      |             ~~~~~~~~~~~
   88 |         }),
      |         ~~~
   89 |         _n_threads
      |         ~~~~~~~~~~
   90 |     );
      |     ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:73:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::btmul(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:56)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::btmul(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:56)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::btmul(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:56)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::btmul(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:56)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::btmul(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:56)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:181:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator-=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::btmul(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:56)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
  181 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:67:33:   required from ‘void adelie_core::matrix::dvsubi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseNullaryOp<MatrixNaiveStandardize<double, int>::btmul(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:56)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
   67 |         x1.segment(begin, size) -= x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:154:11:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  154 |     dvsubi(
      |     ~~~~~~^
  155 |         out,
      |         ~~~~
  156 |         vec_value_t::NullaryExpr(out.size(), [&](auto) { return vsc; }),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  157 |         _n_threads
      |         ~~~~~~~~~~
  158 |     );
      |     ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:134:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Functor = add_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:23:12:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’
   23 |         x1 += x2;
      |         ~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:470:11:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  470 |     dvaddi(_out, v * _mat.col(i), _n_threads);
      |     ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:459:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:37:33:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’
   37 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:470:11:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  470 |     dvaddi(_out, v * _mat.col(i), _n_threads);
      |     ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:459:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Functor = add_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:37:33:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’
   37 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:470:11:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  470 |     dvaddi(_out, v * _mat.col(i), _n_threads);
      |     ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:459:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  441 |       lazyproduct::eval_dynamic(dst, lhs, rhs, internal::assign_op<typename Dst::Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:541:19:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  541 |     Out.noalias() = _mat.transpose() * VW;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:527:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:541:19:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  541 |     Out.noalias() = _mat.transpose() * VW;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:527:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:541:19:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  541 |     Out.noalias() = _mat.transpose() * VW;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:527:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23:   required from ‘void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’
  171 |         buffer.setZero();
      |         ~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:581:65:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  581 |         XTWX.template selfadjointView<Eigen::Lower>().rankUpdate(sqrt_WX.transpose());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:547:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  441 |       lazyproduct::eval_dynamic(dst, lhs, rhs, internal::assign_op<typename Dst::Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:621:19:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  621 |     Out.noalias() = _mat.array().square().matrix().transpose() * W;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:610:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, 1, -1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, 1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, 1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:621:19:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  621 |     Out.noalias() = _mat.array().square().matrix().transpose() * W;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:610:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:674:26:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::sp_tmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  674 |             out_k.col(l) = _out.row(k);
      |             ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:627:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >; SrcXprType = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >; SrcXprType = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; Src = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; Src = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:37:33:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’
   37 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:84:11:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   84 |     dvaddi(Out_l, _out, _n_threads);
      |     ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:70:1:   required from here
   10 |     MatrixNaiveKroneckerEye<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >; SrcXprType = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = add_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >; SrcXprType = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; Src = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; Src = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:37:33:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’
   37 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:84:11:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   84 |     dvaddi(Out_l, _out, _n_threads);
      |     ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:70:1:   required from here
   10 |     MatrixNaiveKroneckerEye<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:37:33:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; size_t = long unsigned int]’
   37 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:58:11:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   58 |     dvaddi(out, v * _mat.col(j).transpose().array(), _n_threads);
      |     ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:51:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; SrcXprType = Eigen::Matrix<double, 1, -1>; Functor = add_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; SrcXprType = Eigen::Matrix<double, 1, -1>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Matrix<double, 1, -1>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:851:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  851 |   call_assignment_no_alias(dst, tmp, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:241:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  241 |                 out.segment(begin, size) += v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:116:37:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  116 |     dgemv<util::operator_type::_add>(
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  117 |         _mat.middleCols(j, q).transpose(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  118 |         v.matrix(),
      |         ~~~~~~~~~~~                  
  119 |         _n_threads,
      |         ~~~~~~~~~~~                  
  120 |         _buff,
      |         ~~~~~~                       
  121 |         outm
      |         ~~~~                         
  122 |     );
      |     ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:108:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:136:59:   required from ‘struct Eigen::internal::evaluator<Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0> >’
  136 |   typedef typename internal::nested_eval<ArgType,1>::type ArgTypeNested;
      |                                                           ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; SrcXprType = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, member_sum<double, double>, 0>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; SrcXprType = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, member_sum<double, double>, 0>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, member_sum<double, double>, 0>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:264:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  264 |             out += buff.block(0, 0, n_blocks, p).colwise().sum();
      |             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:116:37:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  116 |     dgemv<util::operator_type::_add>(
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  117 |         _mat.middleCols(j, q).transpose(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  118 |         v.matrix(),
      |         ~~~~~~~~~~~                  
  119 |         _n_threads,
      |         ~~~~~~~~~~~                  
  120 |         _buff,
      |         ~~~~~~                       
  121 |         outm
      |         ~~~~                         
  122 |     );
      |     ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:108:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:37:33:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; size_t = long unsigned int]’
   37 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:207:15:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  207 |         dvaddi(
      |         ~~~~~~^
  208 |             out,
      |             ~~~~
  209 |             (1-2*k_sgn) * Xv * _mask.col(k_m).transpose().template cast<value_t>().array(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  210 |             _n_threads
      |             ~~~~~~~~~~
  211 |         );
      |         ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:178:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
 1384 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::internal::IndexBased, double>’
 1464 | struct unary_evaluator<ArrayWrapper<TArgType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1> > >; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1> > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1> > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1> > >; Derived = Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:290:28:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  290 |         curr_block.array() = (1-2*k_sgn) * (
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
  291 |             mat.array().colwise() *
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  292 |             mask.template cast<value_t>().cwiseProduct(sqrt_weights.matrix().transpose()).array()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  293 |         );
      |         ~                   
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:260:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:37:33:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; size_t = long unsigned int]’
   37 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_gated_relu.ipp:197:15:   required from ‘void adelie_core::matrix::MatrixNaiveConvexGatedReluDense<DenseType, MaskType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  197 |         dvaddi(
      |         ~~~~~~^
  198 |             out,
      |             ~~~~
  199 |             Xv * _mask.col(k_m).transpose().template cast<value_t>().array(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  200 |             _n_threads
      |             ~~~~~~~~~~
  201 |         );
      |         ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_gated_relu.ipp:171:1:   required from here
   10 |     MatrixNaiveConvexGatedReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; SrcXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; SrcXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.ipp:688:44:   required from ‘void adelie_core::matrix::MatrixNaiveRConcatenate<ValueType, IndexType>::sp_tmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t>) const [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  688 |         out.middleCols(outer_i, rows_curr) = out_curr;
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.ipp:668:1:   required from here
   19 |     MatrixNaiveRConcatenate<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:28:23:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   28 |         cov.noalias() = block.transpose() * _X;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:83:13:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   83 |             cache(i, cache_size);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:68:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:28:23:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   28 |         cov.noalias() = block.transpose() * _X;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:83:13:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   83 |             cache(i, cache_size);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:68:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:43:47:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   43 |         cov.middleRows(begin, size).noalias() = (
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   44 |             block.transpose().middleRows(begin, size) * _X
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   45 |         );
      |         ~                                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:83:13:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   83 |             cache(i, cache_size);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:68:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:43:47:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   43 |         cov.middleRows(begin, size).noalias() = (
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   44 |             block.transpose().middleRows(begin, size) * _X
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   45 |         );
      |         ~                                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:83:13:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   83 |             cache(i, cache_size);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:68:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:43:47:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   43 |         cov.middleRows(begin, size).noalias() = (
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   44 |             block.transpose().middleRows(begin, size) * _X
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   45 |         );
      |         ~                                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:83:13:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   83 |             cache(i, cache_size);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:68:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, 1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, 1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:43:47:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   43 |         cov.middleRows(begin, size).noalias() = (
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   44 |             block.transpose().middleRows(begin, size) * _X
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   45 |         );
      |         ~                                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:83:13:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   83 |             cache(i, cache_size);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:68:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:43:47:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   43 |         cov.middleRows(begin, size).noalias() = (
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   44 |             block.transpose().middleRows(begin, size) * _X
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   45 |         );
      |         ~                                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:83:13:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   83 |             cache(i, cache_size);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:68:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:43:47:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   43 |         cov.middleRows(begin, size).noalias() = (
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   44 |             block.transpose().middleRows(begin, size) * _X
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   45 |         );
      |         ~                                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:83:13:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   83 |             cache(i, cache_size);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:68:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:43:47:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   43 |         cov.middleRows(begin, size).noalias() = (
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   44 |             block.transpose().middleRows(begin, size) * _X
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   45 |         );
      |         ~                                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:83:13:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   83 |             cache(i, cache_size);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:68:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, 1, -1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:37:33:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::ArrayWrapper<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; size_t = long unsigned int]’
   37 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:142:19:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  142 |             dvaddi(out, XTXv_m.array(), _n_threads);
      |             ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:103:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
 1384 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
 1464 | struct unary_evaluator<ArrayWrapper<TArgType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >; Derived = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:23:12:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >; size_t = long unsigned int]’
   23 |         x1 += x2;
      |         ~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:149:15:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  149 |         dvaddi(out, v * mat.row(i_rel).array(), _n_threads);
      |         ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:103:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >, 1, -1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:37:33:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >; size_t = long unsigned int]’
   37 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:149:15:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  149 |         dvaddi(out, v * mat.row(i_rel).array(), _n_threads);
      |         ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:103:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>]’
  441 |       lazyproduct::eval_dynamic(dst, lhs, rhs, internal::assign_op<typename Dst::Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:171:29:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  171 |             out_m.noalias() = X_block.transpose() * Xk;
      |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:156:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:171:29:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  171 |             out_m.noalias() = X_block.transpose() * Xk;
      |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:156:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:171:29:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  171 |             out_m.noalias() = X_block.transpose() * Xk;
      |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:156:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; SrcXprType = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; SrcXprType = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:178:43:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  178 |         out.middleCols(n_processed, size) = mat.block(k_rel, i, size, p).transpose();
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:156:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; SrcXprType = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; SrcXprType = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:178:43:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  178 |         out.middleCols(n_processed, size) = mat.block(k_rel, i, size, p).transpose();
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:156:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:37:33:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; size_t = long unsigned int]’
   37 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.ipp:61:19:   required from ‘void adelie_core::matrix::MatrixCovDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   61 |             dvaddi(out, v * _mat.col(i).array(), _n_threads);
      |             ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.ipp:47:1:   required from here
   10 |     MatrixCovDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > > > >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > > > >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from ‘class Eigen::internal::SparseTransposeImpl<const Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >, 1024>’
   22 |   class SparseTransposeImpl<MatrixType,CompressedAccessBit>
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Sparse>’
   45 | template<typename MatrixType> class TransposeImpl<MatrixType,Sparse>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:60:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::DenseShape, Eigen::SparseShape, 8>]’
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_sparse.ipp:109:19:   required from ‘void adelie_core::matrix::MatrixConstraintSparse<SparseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with SparseType = Eigen::SparseMatrix<double, 1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  109 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_sparse.ipp:104:1:   required from here
   10 |     MatrixConstraintSparse<SparseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>; U = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Derived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:50:27:   required from ‘typename adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::rvmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixConstraintBase<double, int>; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   50 |     return _mat.row(j).dot(v.matrix());
      |            ~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:45:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  441 |       lazyproduct::eval_dynamic(dst, lhs, rhs, internal::assign_op<typename Dst::Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:19:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:19:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false>, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false>, 1, -1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false>, 1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:19:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:90:24:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   90 |             return ddot(
      |                    ~~~~^
   91 |                 (v * w).matrix(),
      |                 ~~~~~~~~~~~~~~~~~
   92 |                 (m_slice == index).template cast<value_t>().matrix(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   93 |                 n_threads,
      |                 ~~~~~~~~~~
   94 |                 buff
      |                 ~~~~    
   95 |             );
      |             ~           
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:334:12:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  334 |     return _cmul(j, v, weights, _n_threads, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:327:1:   required from here
   10 |     MatrixNaiveOneHotDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; U = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:117:24:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_sq_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  117 |             return ddot(w.matrix(), _mat.col(slice).array().square().matrix(), n_threads, buff);
      |                    ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:235:22:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_sq_bmul(int, int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |             out[0] = _sq_cmul(begin, weights, buff);
      |                      ^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:532:9:   required from ‘adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:45)> [with auto:45 = long int]’
  532 |         _sq_bmul(j, g, level, weights, out_curr, out /* unused */);
      |         ^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:45)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:534:27:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  534 |     util::omp_parallel_for(routine, 0, _mat.cols(), _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:522:1:   required from here
   10 |     MatrixNaiveOneHotDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:117:24:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_sq_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  117 |             return ddot(w.matrix(), _mat.col(slice).array().square().matrix(), n_threads, buff);
      |                    ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:235:22:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_sq_bmul(int, int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |             out[0] = _sq_cmul(begin, weights, buff);
      |                      ^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:532:9:   required from ‘adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:45)> [with auto:45 = long int]’
  532 |         _sq_bmul(j, g, level, weights, out_curr, out /* unused */);
      |         ^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:45)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:534:27:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  534 |     util::omp_parallel_for(routine, 0, _mat.cols(), _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:522:1:   required from here
   10 |     MatrixNaiveOneHotDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:117:24:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_sq_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  117 |             return ddot(w.matrix(), _mat.col(slice).array().square().matrix(), n_threads, buff);
      |                    ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:235:22:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_sq_bmul(int, int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |             out[0] = _sq_cmul(begin, weights, buff);
      |                      ^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:532:9:   required from ‘adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:45)> [with auto:45 = long int]’
  532 |         _sq_bmul(j, g, level, weights, out_curr, out /* unused */);
      |         ^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:45)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:534:27:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  534 |     util::omp_parallel_for(routine, 0, _mat.cols(), _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:522:1:   required from here
   10 |     MatrixNaiveOneHotDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; U = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:126:24:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_sq_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  126 |             return ddot(
      |                    ~~~~^
  127 |                 w.matrix(),
      |                 ~~~~~~~~~~~
  128 |                 (m_slice == index).template cast<value_t>().matrix(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  129 |                 n_threads,
      |                 ~~~~~~~~~~
  130 |                 buff
      |                 ~~~~    
  131 |             );
      |             ~           
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:235:22:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_sq_bmul(int, int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |             out[0] = _sq_cmul(begin, weights, buff);
      |                      ^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:532:9:   required from ‘adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:45)> [with auto:45 = long int]’
  532 |         _sq_bmul(j, g, level, weights, out_curr, out /* unused */);
      |         ^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:45)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:534:27:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  534 |     util::omp_parallel_for(routine, 0, _mat.cols(), _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:522:1:   required from here
   10 |     MatrixNaiveOneHotDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:126:24:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_sq_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  126 |             return ddot(
      |                    ~~~~^
  127 |                 w.matrix(),
      |                 ~~~~~~~~~~~
  128 |                 (m_slice == index).template cast<value_t>().matrix(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  129 |                 n_threads,
      |                 ~~~~~~~~~~
  130 |                 buff
      |                 ~~~~    
  131 |             );
      |             ~           
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:235:22:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_sq_bmul(int, int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |             out[0] = _sq_cmul(begin, weights, buff);
      |                      ^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:532:9:   required from ‘adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:45)> [with auto:45 = long int]’
  532 |         _sq_bmul(j, g, level, weights, out_curr, out /* unused */);
      |         ^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:45)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:534:27:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  534 |     util::omp_parallel_for(routine, 0, _mat.cols(), _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:522:1:   required from here
   10 |     MatrixNaiveOneHotDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:104:32:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  104 |                     return ddot((v * w).matrix(), _mat.col(i0).transpose(), n_threads, buff);
      |                            ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:501:12:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  501 |     return _cmul(j, v, weights, _n_threads, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:494:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:112:32:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  112 |                     return ddot((v * w).matrix(), _mat.col(i0).cwiseProduct(_mat.col(i1)).transpose(), n_threads, buff);
      |                            ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:501:12:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  501 |     return _cmul(j, v, weights, _n_threads, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:494:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:130:28:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  130 |                 return ddot(
      |                        ~~~~^
  131 |                     (v * w).matrix(),
      |                     ~~~~~~~~~~~~~~~~~
  132 |                     (mi1 * (mi0 == k0).template cast<value_t>()).matrix(),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  133 |                     n_threads,
      |                     ~~~~~~~~~~
  134 |                     buff
      |                     ~~~~    
  135 |                 );
      |                 ~           
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:501:12:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  501 |     return _cmul(j, v, weights, _n_threads, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:494:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:163:24:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  163 |             return ddot(
      |                    ~~~~^
  164 |                 (v * w).matrix(),
      |                 ~~~~~~~~~~~~~~~~~
  165 |                 ((mi0 == k0) && (mi1 == k1)).template cast<value_t>().matrix(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  166 |                 n_threads,
      |                 ~~~~~~~~~~
  167 |                 buff
      |                 ~~~~    
  168 |             );
      |             ~           
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:501:12:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  501 |     return _cmul(j, v, weights, _n_threads, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:494:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:296:26:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_bmul(int, int, int, int, int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  296 |             out[2] = ddot(_mat.col(i0).cwiseProduct(_mat.col(i1)), (v * w).matrix(), n_threads, buff);
      |                      ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:555:9:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  555 |         _bmul(jj, i0, i1, l0, l1, index, v, weights, out_curr, _buff, _n_threads);
      |         ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:531:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; U = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Derived = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:144:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; X2Type = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  144 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:49:28:   required from ‘typename adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   49 |         (c == 0) ? 0 : ddot(v.matrix(), weights.matrix(), _n_threads, _buff)
      |                        ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:40:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; X2Type = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:49:28:   required from ‘typename adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   49 |         (c == 0) ? 0 : ddot(v.matrix(), weights.matrix(), _n_threads, _buff)
      |                        ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:40:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:97:33:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’
   97 |         x1.segment(begin, size) = x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:109:10:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  109 |     dvveq(out, (out - vw_sum * c) / s, _n_threads);
      |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:95:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false>]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:97:33:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’
   97 |         x1.segment(begin, size) = x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:143:10:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  143 |     dvveq(vs, v / s, _n_threads);
      |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:134:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; U = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; Derived = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:144:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; X2Type = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; BuffType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’
  144 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:147:26:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  147 |     const auto vsc = ddot(
      |                      ~~~~^
  148 |         _centers.segment(j, q).matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  149 |         vs.matrix(),
      |         ~~~~~~~~~~~~      
  150 |         _n_threads,
      |         ~~~~~~~~~~~       
  151 |         buff
      |         ~~~~              
  152 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:134:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; X2Type = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; BuffType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:147:26:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  147 |     const auto vsc = ddot(
      |                      ~~~~^
  148 |         _centers.segment(j, q).matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  149 |         vs.matrix(),
      |         ~~~~~~~~~~~~      
  150 |         _n_threads,
      |         ~~~~~~~~~~~       
  151 |         buff
      |         ~~~~              
  152 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:134:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:97:33:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’
   97 |         x1.segment(begin, size) = x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:172:10:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) const [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  172 |     dvveq(out, (out - vw_sum * _centers) / _scales, _n_threads);
      |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:163:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, -1, 1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:33:62:   required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; VType = Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   33 |       Map<Matrix<Scalar,Dynamic,1> >(mat+stride*i+i, size-i) +=
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
   34 |                         (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i)
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                       + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; DerivedV = Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’
   85 |   internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   86 |     (IsRowMajor ? int(UpLo==Upper ? Lower : Upper) : UpLo)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   87 |     ::run(_expression().const_cast_derived().data(),_expression().outerStride(),UType(actualU),VType(actualV),actualAlpha);
      |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:212:29:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) const [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  212 |         out_lower.rankUpdate(centers.matrix().transpose(), means.matrix().transpose(), -1);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:191:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:33:62:   required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; VType = Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   33 |       Map<Matrix<Scalar,Dynamic,1> >(mat+stride*i+i, size-i) +=
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
   34 |                         (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i)
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                       + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; DerivedV = Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’
   85 |   internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   86 |     (IsRowMajor ? int(UpLo==Upper ? Lower : Upper) : UpLo)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   87 |     ::run(_expression().const_cast_derived().data(),_expression().outerStride(),UType(actualU),VType(actualV),actualAlpha);
      |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:212:29:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) const [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  212 |         out_lower.rankUpdate(centers.matrix().transpose(), means.matrix().transpose(), -1);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:191:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:97:33:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; size_t = long unsigned int]’
   97 |         x1.segment(begin, size) = x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:233:10:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) const [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  233 |     dvveq(out, (out - 2 * _centers * mat_means + w_sum * _centers.square()) / _scales.square(), _n_threads);
      |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.ipp:223:1:   required from here
   10 |     MatrixNaiveStandardize<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Derived = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:97:33:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Array<double, 1, -1, 1, 1, -1>; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
   97 |         x1.segment(begin, size) = x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:534:10:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  534 |     dvveq(vbuff, v * weights, _n_threads);
      |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:527:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:333:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
  306 |   typedef typename Traits::LhsPacket LhsPacket;
      |                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Dest = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Dest::Scalar = double]’
  346 |     general_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  347 |         <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  348 |         actualLhs.rows(), actualLhs.cols(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  349 |         LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  350 |         RhsMapper(actualRhsPtr, 1),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                 
  351 |         dest.data(), dest.col(0).innerStride(), //NOTE  if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  352 |         actualAlpha);
      |         ~~~~~~~~~~~~                                                                                                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Scalar = double]’
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:541:19:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  541 |     Out.noalias() = _mat.transpose() * VW;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:527:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
  310 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Dest = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Dest::Scalar = double]’
  346 |     general_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  347 |         <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  348 |         actualLhs.rows(), actualLhs.cols(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  349 |         LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  350 |         RhsMapper(actualRhsPtr, 1),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                 
  351 |         dest.data(), dest.col(0).innerStride(), //NOTE  if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  352 |         actualAlpha);
      |         ~~~~~~~~~~~~                                                                                                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Scalar = double]’
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:541:19:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  541 |     Out.noalias() = _mat.transpose() * VW;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:527:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 2>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
  314 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Dest = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Dest::Scalar = double]’
  346 |     general_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  347 |         <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  348 |         actualLhs.rows(), actualLhs.cols(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  349 |         LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  350 |         RhsMapper(actualRhsPtr, 1),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                 
  351 |         dest.data(), dest.col(0).innerStride(), //NOTE  if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  352 |         actualAlpha);
      |         ~~~~~~~~~~~~                                                                                                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Scalar = double]’
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:541:19:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  541 |     Out.noalias() = _mat.transpose() * VW;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:527:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:541:19:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  541 |     Out.noalias() = _mat.transpose() * VW;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:527:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:541:19:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  541 |     Out.noalias() = _mat.transpose() * VW;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:527:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:541:19:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  541 |     Out.noalias() = _mat.transpose() * VW;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:527:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:190:36:   required from ‘void adelie_core::matrix::dmmeq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >; size_t = long unsigned int]’
  190 |         x1.middleRows(begin, size) = x2.middleRows(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:572:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  572 |         dmmeq(
      |         ~~~~~^
  573 |             sqrt_WX_array,
      |             ~~~~~~~~~~~~~~
  574 |             _mat.middleCols(i_begin, i_q).array().colwise() * sqrt_W.col(l).array(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  575 |             _n_threads
      |             ~~~~~~~~~~
  576 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:547:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:190:36:   required from ‘void adelie_core::matrix::dmmeq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >; size_t = long unsigned int]’
  190 |         x1.middleRows(begin, size) = x2.middleRows(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:572:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  572 |         dmmeq(
      |         ~~~~~^
  573 |             sqrt_WX_array,
      |             ~~~~~~~~~~~~~~
  574 |             _mat.middleCols(i_begin, i_q).array().colwise() * sqrt_W.col(l).array(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  575 |             _n_threads
      |             ~~~~~~~~~~
  576 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:547:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:80:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:621:19:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  621 |     Out.noalias() = _mat.array().square().matrix().transpose() * W;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:610:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Dest = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Dest::Scalar = double]’
  379 |       dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum();
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:621:19:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  621 |     Out.noalias() = _mat.array().square().matrix().transpose() * W;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:610:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]’
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |                              ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:621:19:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  621 |     Out.noalias() = _mat.array().square().matrix().transpose() * W;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:610:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; SrcXprType = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; SrcXprType = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Derived = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:97:33:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; X2Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; size_t = long unsigned int]’
   97 |         x1.segment(begin, size) = x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:42:10:   required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   42 |     dvveq(_v, V.col(l), _n_threads);
      |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:29:1:   required from here
   10 |     MatrixNaiveKroneckerEye<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >; SrcXprType = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >; SrcXprType = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Src = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Src = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Src = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:97:33:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::VectorBlock<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>; X2Type = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’
   97 |         x1.segment(begin, size) = x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:114:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  114 |         dvveq(Out_curr, _out, _n_threads);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:89:1:   required from here
   10 |     MatrixNaiveKroneckerEye<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; SrcXprType = Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; SrcXprType = Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Derived = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:97:33:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; X2Type = Eigen::VectorBlock<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>; size_t = long unsigned int]’
   97 |         x1.segment(begin, size) = x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:169:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  169 |         dvveq(_v, V.col(l-j).segment(i_begin, i_q), _n_threads);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:152:1:   required from here
   10 |     MatrixNaiveKroneckerEye<ValueType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; U = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Derived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:144:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; size_t = long unsigned int]’
  144 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:33:16:   required from ‘typename adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   33 |     return ddot(_mat.col(j), (v * weights).matrix(), _n_threads, vbuff);
      |            ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:25:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:33:16:   required from ‘typename adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   33 |     return ddot(_mat.col(j), (v * weights).matrix(), _n_threads, vbuff);
      |            ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:25:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::Matrix<double, 1, -1>; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::Matrix<double, 1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Matrix<double, 1, -1>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:851:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  851 |   call_assignment_no_alias(dst, tmp, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:73:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |     dgemv(
      |     ~~~~~^
   74 |         _mat.middleCols(j, q),
      |         ~~~~~~~~~~~~~~~~~~~~~~
   75 |         _vbuff.matrix(),
      |         ~~~~~~~~~~~~~~~~
   76 |         _n_threads,
      |         ~~~~~~~~~~~
   77 |         _buff,
      |         ~~~~~~
   78 |         outm
      |         ~~~~
   79 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:63:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; U = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:144:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  144 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:179:25:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  179 |         out(0, 0) = ddot(sqrt_w_mj, sqrt_w_mj, _n_threads, vbuff);
      |                     ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:164:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:179:25:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  179 |         out(0, 0) = ddot(sqrt_w_mj, sqrt_w_mj, _n_threads, vbuff);
      |                     ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:164:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >, -1, -1, false>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >, -1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >, -1, -1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >, -1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >, -1, -1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, -1, -1, false>]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:190:36:   required from ‘void adelie_core::matrix::dmmeq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >; size_t = long unsigned int]’
  190 |         x1.middleRows(begin, size) = x2.middleRows(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:187:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  187 |     dmmeq(
      |     ~~~~~^
  188 |         Xj_array,
      |         ~~~~~~~~~
  189 |         _mat.middleCols(j, q).array().colwise() * sqrt_weights.matrix().transpose().array(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  190 |         _n_threads
      |         ~~~~~~~~~~
  191 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:164:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >, -1, -1, false>; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >, -1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >, -1, -1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >, -1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >, -1, -1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, -1, -1, false>]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:190:36:   required from ‘void adelie_core::matrix::dmmeq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >; size_t = long unsigned int]’
  190 |         x1.middleRows(begin, size) = x2.middleRows(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:187:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  187 |     dmmeq(
      |     ~~~~~^
  188 |         Xj_array,
      |         ~~~~~~~~~
  189 |         _mat.middleCols(j, q).array().colwise() * sqrt_weights.matrix().transpose().array(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  190 |         _n_threads
      |         ~~~~~~~~~~
  191 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:164:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:37:33:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; size_t = long unsigned int]’
   37 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:48:11:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::_ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
   48 |     dvaddi(
      |     ~~~~~~^
   49 |         out,
      |         ~~~~
   50 |         (v * (1-2*j_sgn)) * _mat.col(j_d).cwiseProduct(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   51 |             _mask.col(j_m).template cast<value_t>()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   52 |         ).array(),
      |         ~~~~~~~~~~
   53 |         n_threads
      |         ~~~~~~~~~
   54 |     );
      |     ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:146:5:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  146 |     _ctmul(j, v, out, _n_threads);
      |     ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:139:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; SrcXprType = Eigen::Matrix<double, 1, -1>; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; SrcXprType = Eigen::Matrix<double, 1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Src = Eigen::Matrix<double, 1, -1>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:851:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  851 |   call_assignment_no_alias(dst, tmp, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:200:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  200 |         dgemv(
      |         ~~~~~^
  201 |             _mat.middleCols(k_d, size).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  202 |             v.segment(n_processed, size).matrix(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  203 |             _n_threads,
      |             ~~~~~~~~~~~
  204 |             buff,
      |             ~~~~~
  205 |             Xv_m
      |             ~~~~
  206 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:178:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::Matrix<double, 1, -1>; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::Matrix<double, 1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>; Src = Eigen::Matrix<double, 1, -1>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:851:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  851 |   call_assignment_no_alias(dst, tmp, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:200:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  200 |         dgemv(
      |         ~~~~~^
  201 |             _mat.middleCols(k_d, size).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  202 |             v.segment(n_processed, size).matrix(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  203 |             _n_threads,
      |             ~~~~~~~~~~~
  204 |             buff,
      |             ~~~~~
  205 |             Xv_m
      |             ~~~~
  206 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:178:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::Matrix<double, 1, -1>; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::Matrix<double, 1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>; Src = Eigen::Matrix<double, 1, -1>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:851:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  851 |   call_assignment_no_alias(dst, tmp, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:200:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  200 |         dgemv(
      |         ~~~~~^
  201 |             _mat.middleCols(k_d, size).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  202 |             v.segment(n_processed, size).matrix(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  203 |             _n_threads,
      |             ~~~~~~~~~~~
  204 |             buff,
      |             ~~~~~
  205 |             Xv_m
      |             ~~~~
  206 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:178:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:136:59:   required from ‘struct Eigen::internal::evaluator<Eigen::PartialReduxExpr<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0> >’
  136 |   typedef typename internal::nested_eval<ArgType,1>::type ArgTypeNested;
      |                                                           ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, member_sum<double, double>, 0>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, member_sum<double, double>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, member_sum<double, double>, 0>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, member_sum<double, double>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:262:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’
  262 |             out = buff.block(0, 0, n_blocks, p).colwise().sum();
      |             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:200:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  200 |         dgemv(
      |         ~~~~~^
  201 |             _mat.middleCols(k_d, size).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  202 |             v.segment(n_processed, size).matrix(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  203 |             _n_threads,
      |             ~~~~~~~~~~~
  204 |             buff,
      |             ~~~~~
  205 |             Xv_m
      |             ~~~~
  206 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:178:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:28:23:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   28 |         cov.noalias() = block.transpose() * _X;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:83:13:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   83 |             cache(i, cache_size);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:68:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:28:23:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   28 |         cov.noalias() = block.transpose() * _X;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:83:13:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   83 |             cache(i, cache_size);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:68:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:43:47:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   43 |         cov.middleRows(begin, size).noalias() = (
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   44 |             block.transpose().middleRows(begin, size) * _X
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   45 |         );
      |         ~                                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:83:13:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   83 |             cache(i, cache_size);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:68:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:43:47:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   43 |         cov.middleRows(begin, size).noalias() = (
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   44 |             block.transpose().middleRows(begin, size) * _X
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   45 |         );
      |         ~                                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:83:13:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   83 |             cache(i, cache_size);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:68:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>; SrcXprType = Eigen::Matrix<double, 1, -1>; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>; SrcXprType = Eigen::Matrix<double, 1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>; Src = Eigen::Matrix<double, 1, -1>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:851:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  851 |   call_assignment_no_alias(dst, tmp, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:127:18:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  127 |             dgemv(
      |             ~~~~~^
  128 |                 _X.middleCols(i, block_size).transpose(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  129 |                 values.segment(i_idx, block_size).matrix(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  130 |                 _n_threads,
      |                 ~~~~~~~~~~~
  131 |                 buff,
      |                 ~~~~~
  132 |                 Xv_m
      |                 ~~~~
  133 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:103:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, -1, 1, true>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, -1, 1, true>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, -1, 1, true>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, -1, 1, true>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, -1, 1, true>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, -1, 1, true>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:171:29:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  171 |             out_m.noalias() = X_block.transpose() * Xk;
      |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:156:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:171:29:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  171 |             out_m.noalias() = X_block.transpose() * Xk;
      |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:156:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:171:29:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  171 |             out_m.noalias() = X_block.transpose() * Xk;
      |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:156:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:19:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; Dest = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; typename Dest::Scalar = double]’
  296 |           dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size());
      |                            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:19:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:19:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:19:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, 1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:19:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:41)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:41)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:41)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:41)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:41)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:41)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:37:33:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseNullaryOp<MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:41)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
   37 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:156:19:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  156 |             dvaddi(
      |             ~~~~~~^
  157 |                 out,
      |                 ~~~~
  158 |                 vec_value_t::NullaryExpr(_mat.rows(), [=](auto) {
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  159 |                     return v;
      |                     ~~~~~~~~~
  160 |                 }),
      |                 ~~~
  161 |                 n_threads
      |                 ~~~~~~~~~
  162 |             );
      |             ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:359:5:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  359 |     _ctmul(j, v, out, _n_threads);
      |     ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:352:1:   required from here
   10 |     MatrixNaiveOneHotDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:37:33:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; size_t = long unsigned int]’
   37 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:167:19:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  167 |             dvaddi(
      |             ~~~~~~^
  168 |                 out,
      |                 ~~~~
  169 |                 v * (m_slice == index).template cast<value_t>(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  170 |                 n_threads
      |                 ~~~~~~~~~
  171 |             );
      |             ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:359:5:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  359 |     _ctmul(j, v, out, _n_threads);
      |     ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:352:1:   required from here
   10 |     MatrixNaiveOneHotDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:42)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:42)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:42)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:42)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:42)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:42)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:37:33:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseNullaryOp<MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:42)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
   37 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:277:19:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  277 |             dvaddi(
      |             ~~~~~~^
  278 |                 out,
      |                 ~~~~
  279 |                 vec_value_t::NullaryExpr(_mat.rows(), [&](auto) {
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  280 |                     return v[0];
      |                     ~~~~~~~~~~~~
  281 |                 }),
      |                 ~~~
  282 |                 n_threads
      |                 ~~~~~~~~~
  283 |             );
      |             ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:429:9:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  429 |         _btmul(jj, slice, index, level, size, v_curr, out, _n_threads);
      |         ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:413:1:   required from here
   10 |     MatrixNaiveOneHotDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:43)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:43)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:43)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:43)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:43)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:43)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:37:33:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseNullaryOp<MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:43)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
   37 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:287:19:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  287 |             dvaddi(
      |             ~~~~~~^
  288 |                 out,
      |                 ~~~~
  289 |                 vec_value_t::NullaryExpr(_mat.rows(), [&](auto i) {
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  290 |                     const int k = _mat(i, slice);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  291 |                     return v[k];
      |                     ~~~~~~~~~~~~
  292 |                 }),
      |                 ~~~
  293 |                 n_threads
      |                 ~~~~~~~~~
  294 |             );
      |             ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:429:9:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  429 |         _btmul(jj, slice, index, level, size, v_curr, out, _n_threads);
      |         ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:413:1:   required from here
   10 |     MatrixNaiveOneHotDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; U = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:144:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; size_t = long unsigned int]’
  144 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:501:29:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  501 |             out(0, 0) = ddot(sqrt_w_mi, sqrt_w_mi, _n_threads, buff);
      |                         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:468:1:   required from here
   10 |     MatrixNaiveOneHotDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:501:29:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  501 |             out(0, 0) = ddot(sqrt_w_mi, sqrt_w_mi, _n_threads, buff);
      |                         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:468:1:   required from here
   10 |     MatrixNaiveOneHotDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:37:33:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; size_t = long unsigned int]’
   37 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:207:27:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  207 |                     dvaddi(out, v * _mat.col(i0).transpose().array() * _mat.col(i1).transpose().array(), n_threads);
      |                     ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:526:5:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  526 |     _ctmul(j, v, out, _n_threads);
      |     ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:519:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp<scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp<scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp<scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:37:33:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; size_t = long unsigned int]’
   37 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:224:23:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  224 |                 dvaddi(
      |                 ~~~~~~^
  225 |                     out,
      |                     ~~~~
  226 |                     v * mi1 * (mi0 == k0).template cast<value_t>(),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  227 |                     n_threads
      |                     ~~~~~~~~~
  228 |                 );
      |                 ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:526:5:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  526 |     _ctmul(j, v, out, _n_threads);
      |     ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:519:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<scalar_boolean_and_op, const Eigen::CwiseBinaryOp<scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<scalar_boolean_and_op, const Eigen::CwiseBinaryOp<scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<scalar_boolean_and_op, const Eigen::CwiseBinaryOp<scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:37:33:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; size_t = long unsigned int]’
   37 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:254:19:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  254 |             dvaddi(
      |             ~~~~~~^
  255 |                 out,
      |                 ~~~~
  256 |                 v * ((mi0 == k0) && (mi1 == k1)).template cast<value_t>(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  257 |                 n_threads
      |                 ~~~~~~~~~
  258 |             );
      |             ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:526:5:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  526 |     _ctmul(j, v, out, _n_threads);
      |     ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:519:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:37:33:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >; size_t = long unsigned int]’
   37 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:416:19:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  416 |             dvaddi(out, v[0] * mi0 + mi1 * (v[1] + v[2] * mi0), n_threads);
      |             ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:617:9:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  617 |         _btmul(jj, i0, i1, l0, l1, index, size, v_curr, out, _n_threads);
      |         ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:594:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:34)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:34)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:34)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:34)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:34)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:34)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:37:33:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseNullaryOp<MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:34)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
   37 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:420:19:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  420 |             dvaddi(
      |             ~~~~~~^
  421 |                 out,
      |                 ~~~~
  422 |                 vec_value_t::NullaryExpr(_mat.rows(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  423 |                     [&](auto i) {
      |                     ~~~~~~~~~~~~~
  424 |                         const int k0 = _mat(i, i0);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  425 |                         return v[k0] + v[l0 + k0] * _mat(i, i1);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  426 |                     }
      |                     ~
  427 |                 ),
      |                 ~~ 
  428 |                 n_threads
      |                 ~~~~~~~~~
  429 |             );
      |             ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:617:9:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  617 |         _btmul(jj, i0, i1, l0, l1, index, size, v_curr, out, _n_threads);
      |         ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:594:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:35)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:35)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:35)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:35)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:35)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:35)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:37:33:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseNullaryOp<MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:35)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
   37 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:433:19:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  433 |             dvaddi(
      |             ~~~~~~^
  434 |                 out,
      |                 ~~~~
  435 |                 vec_value_t::NullaryExpr(_mat.rows(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  436 |                     [&](auto i) {
      |                     ~~~~~~~~~~~~~
  437 |                         const int k1 = _mat(i, i1);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  438 |                         const auto b = _n_levels_cont * k1;
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |                         return v[b] + v[b+1] * _mat(i, i0);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  440 |                     }
      |                     ~
  441 |                 ),
      |                 ~~ 
  442 |                 n_threads
      |                 ~~~~~~~~~
  443 |             );
      |             ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:617:9:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  617 |         _btmul(jj, i0, i1, l0, l1, index, size, v_curr, out, _n_threads);
      |         ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:594:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:36)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:36)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:36)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:36)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:36)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:36)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:37:33:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseNullaryOp<MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const::<lambda(auto:36)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
   37 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:447:19:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  447 |             dvaddi(
      |             ~~~~~~^
  448 |                 out,
      |                 ~~~~
  449 |                 vec_value_t::NullaryExpr(_mat.rows(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  450 |                     [&](auto i) {
      |                     ~~~~~~~~~~~~~
  451 |                         const int k0 = _mat(i, i0);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  452 |                         const int k1 = _mat(i, i1);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  453 |                         return v[k1 * l0 + k0];
      |                         ~~~~~~~~~~~~~~~~~~~~~~~
  454 |                     }
      |                     ~
  455 |                 ),
      |                 ~~ 
  456 |                 n_threads
      |                 ~~~~~~~~~
  457 |             );
      |             ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:617:9:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  617 |         _btmul(jj, i0, i1, l0, l1, index, size, v_curr, out, _n_threads);
      |         ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:594:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Derived = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:97:33:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Array<double, 1, -1, 1, 1, -1>; X2Type = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
   97 |         x1.segment(begin, size) = x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:702:18:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  702 |             dvveq(w, sqrt_w.square(), _n_threads);
      |             ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:663:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; U = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:144:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
  144 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:703:29:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  703 |             out(0, 0) = ddot(w.matrix(), mi0.square().matrix(), _n_threads, buff);
      |                         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:663:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:703:29:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  703 |             out(0, 0) = ddot(w.matrix(), mi0.square().matrix(), _n_threads, buff);
      |                         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:663:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; U = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:144:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
  144 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:704:29:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  704 |             out(1, 0) = ddot(w.matrix(), (mi0 * mi1).matrix(), _n_threads, buff);
      |                         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:663:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:704:29:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  704 |             out(1, 0) = ddot(w.matrix(), (mi0 * mi1).matrix(), _n_threads, buff);
      |                         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:663:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; U = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:144:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
  144 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:706:29:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  706 |             out(2, 0) = ddot(w.matrix(), (mi0.square() * mi1).matrix(), _n_threads, buff);
      |                         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:663:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:706:29:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  706 |             out(2, 0) = ddot(w.matrix(), (mi0.square() * mi1).matrix(), _n_threads, buff);
      |                         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:663:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; U = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Derived = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:144:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
  144 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:708:29:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  708 |             out(2, 2) = ddot(w.matrix(), (mi0 * mi1).square().matrix(), _n_threads, buff);
      |                         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:663:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:708:29:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  708 |             out(2, 2) = ddot(w.matrix(), (mi0 * mi1).square().matrix(), _n_threads, buff);
      |                         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:663:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; X2Type = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:349:26:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_sq_bmul(int, int, int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  349 |             out[2] = ddot(_mat.col(i0).cwiseProduct(_mat.col(i1)).array().square().matrix(), w.matrix(), n_threads, buff);
      |                      ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:785:9:   required from ‘adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:38)> [with auto:38 = long int]’
  785 |         _sq_bmul(i0, i1, l0, l1, weights, out_curr, out /* unused */);
      |         ^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:38)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:787:27:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  787 |     util::omp_parallel_for(routine, 0, _outer.size()-1, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:768:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>; SrcXprType = Eigen::Matrix<double, 1, -1>; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>; SrcXprType = Eigen::Matrix<double, 1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Matrix<double, 1, -1>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:851:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  851 |   call_assignment_no_alias(dst, tmp, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:401:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  401 |         dgemv(
      |         ~~~~~^
  402 |             VW.middleCols(l, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  403 |             _mat.col(i).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  404 |             _n_threads,
      |             ~~~~~~~~~~~
  405 |             buff,
      |             ~~~~~
  406 |             _out
      |             ~~~~
  407 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:483:5:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  483 |     _bmul(j, q, v, weights, out, _vbuff, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:475:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::Matrix<double, 1, -1>; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::Matrix<double, 1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>; Src = Eigen::Matrix<double, 1, -1>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:851:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  851 |   call_assignment_no_alias(dst, tmp, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:401:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  401 |         dgemv(
      |         ~~~~~^
  402 |             VW.middleCols(l, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  403 |             _mat.col(i).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  404 |             _n_threads,
      |             ~~~~~~~~~~~
  405 |             buff,
      |             ~~~~~
  406 |             _out
      |             ~~~~
  407 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:483:5:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  483 |     _bmul(j, q, v, weights, out, _vbuff, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:475:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:541:19:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  541 |     Out.noalias() = _mat.transpose() * VW;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:527:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:541:19:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  541 |     Out.noalias() = _mat.transpose() * VW;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:527:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:541:19:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  541 |     Out.noalias() = _mat.transpose() * VW;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:527:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:621:19:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  621 |     Out.noalias() = _mat.array().square().matrix().transpose() * W;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:610:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:621:19:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  621 |     Out.noalias() = _mat.array().square().matrix().transpose() * W;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:610:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:621:19:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  621 |     Out.noalias() = _mat.array().square().matrix().transpose() * W;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:610:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Rhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 1, -1>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:241:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  241 |                 out.segment(begin, size) += v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:116:37:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  116 |     dgemv<util::operator_type::_add>(
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  117 |         _mat.middleCols(j, q).transpose(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  118 |         v.matrix(),
      |         ~~~~~~~~~~~                  
  119 |         _n_threads,
      |         ~~~~~~~~~~~                  
  120 |         _buff,
      |         ~~~~~~                       
  121 |         outm
      |         ~~~~                         
  122 |     );
      |     ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:108:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:28:23:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   28 |         cov.noalias() = block.transpose() * _X;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:83:13:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   83 |             cache(i, cache_size);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:68:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:28:23:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   28 |         cov.noalias() = block.transpose() * _X;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:83:13:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   83 |             cache(i, cache_size);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:68:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:907:22:   required from ‘void Eigen::internal::call_restricted_packet_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>; Func = assign_op<double, double>]’
  907 |     DstEvaluatorType dstEvaluator(dst);
      |                      ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:47:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::false_type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; LhsT = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; RhsT = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Func = Eigen::internal::assign_op<double, double>; Scalar = double; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  462 |     call_restricted_packet_assignment_no_alias(dst, lhs.lazyProduct(rhs), func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Lhs&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Func = Eigen::internal::assign_op<double, double>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  446 |     eval_dynamic_impl(dst,
      |     ~~~~~~~~~~~~~~~~~^~~~~
  447 |                       blas_traits<Lhs>::extract(lhs).template conjugateIf<ConjLhs>(),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |                       blas_traits<Rhs>::extract(rhs).template conjugateIf<ConjRhs>(),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  449 |                       func,
      |                       ~~~~~
  450 |                       actualAlpha,
      |                       ~~~~~~~~~~~~
  451 |                       typename conditional<HasScalarFactor,true_type,false_type>::type());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  441 |       lazyproduct::eval_dynamic(dst, lhs, rhs, internal::assign_op<typename Dst::Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:43:47:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   43 |         cov.middleRows(begin, size).noalias() = (
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   44 |             block.transpose().middleRows(begin, size) * _X
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   45 |         );
      |         ~                                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:83:13:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   83 |             cache(i, cache_size);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:68:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, -1, 1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, -1, 1, false>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, -1, 1, false>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, -1, 1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, -1, 1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, -1, 1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:43:47:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   43 |         cov.middleRows(begin, size).noalias() = (
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   44 |             block.transpose().middleRows(begin, size) * _X
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   45 |         );
      |         ~                                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:83:13:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   83 |             cache(i, cache_size);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:68:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, 1, -1, true> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, 1, -1, true> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:43:47:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   43 |         cov.middleRows(begin, size).noalias() = (
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   44 |             block.transpose().middleRows(begin, size) * _X
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   45 |         );
      |         ~                                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:83:13:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   83 |             cache(i, cache_size);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:68:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:43:47:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   43 |         cov.middleRows(begin, size).noalias() = (
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   44 |             block.transpose().middleRows(begin, size) * _X
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   45 |         );
      |         ~                                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:83:13:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   83 |             cache(i, cache_size);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:68:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:171:29:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  171 |             out_m.noalias() = X_block.transpose() * Xk;
      |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:156:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:171:29:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  171 |             out_m.noalias() = X_block.transpose() * Xk;
      |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:156:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:171:29:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  171 |             out_m.noalias() = X_block.transpose() * Xk;
      |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:156:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:171:29:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  171 |             out_m.noalias() = X_block.transpose() * Xk;
      |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:156:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:29:18:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::rmmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   29 |     out.matrix() = _mat.row(j) * Q;
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:23:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:19:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:19:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false>, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:19:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:19:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:19:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:144:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  144 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:81:24:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   81 |             return ddot((v * w).matrix(), _mat.col(slice), n_threads, buff);
      |                    ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:334:12:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  334 |     return _cmul(j, v, weights, _n_threads, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:327:1:   required from here
   10 |     MatrixNaiveOneHotDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:81:24:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   81 |             return ddot((v * w).matrix(), _mat.col(slice), n_threads, buff);
      |                    ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:334:12:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  334 |     return _cmul(j, v, weights, _n_threads, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:327:1:   required from here
   10 |     MatrixNaiveOneHotDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; U = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:144:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  144 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:104:32:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  104 |                     return ddot((v * w).matrix(), _mat.col(i0).transpose(), n_threads, buff);
      |                            ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:501:12:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  501 |     return _cmul(j, v, weights, _n_threads, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:494:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:104:32:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  104 |                     return ddot((v * w).matrix(), _mat.col(i0).transpose(), n_threads, buff);
      |                            ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:501:12:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  501 |     return _cmul(j, v, weights, _n_threads, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:494:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; U = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:144:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  144 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:112:32:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  112 |                     return ddot((v * w).matrix(), _mat.col(i0).cwiseProduct(_mat.col(i1)).transpose(), n_threads, buff);
      |                            ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:501:12:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  501 |     return _cmul(j, v, weights, _n_threads, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:494:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:112:32:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  112 |                     return ddot((v * w).matrix(), _mat.col(i0).cwiseProduct(_mat.col(i1)).transpose(), n_threads, buff);
      |                            ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:501:12:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  501 |     return _cmul(j, v, weights, _n_threads, _buff);
      |            ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:494:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; U = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:144:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’
  144 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:296:26:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_bmul(int, int, int, int, int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  296 |             out[2] = ddot(_mat.col(i0).cwiseProduct(_mat.col(i1)), (v * w).matrix(), n_threads, buff);
      |                      ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:555:9:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  555 |         _bmul(jj, i0, i1, l0, l1, index, v, weights, out_curr, _buff, _n_threads);
      |         ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:531:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:296:26:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_bmul(int, int, int, int, int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  296 |             out[2] = ddot(_mat.col(i0).cwiseProduct(_mat.col(i1)), (v * w).matrix(), n_threads, buff);
      |                      ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:555:9:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  555 |         _bmul(jj, i0, i1, l0, l1, index, v, weights, out_curr, _buff, _n_threads);
      |         ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:531:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:35:   required from ‘static void Eigen::internal::sparse_time_dense_product_impl<SparseLhsType, DenseRhsType, DenseResType, typename DenseResType::Scalar, 1, false>::processRow(const LhsEval&, const DenseRhsType&, Res&, const typename Eigen::internal::remove_all<Arg2Type>::type::Scalar&, Eigen::Index) [with SparseLhsType = Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >; DenseRhsType = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; DenseResType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; LhsEval = Eigen::internal::evaluator<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >; Res = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::remove_all<Arg2Type>::type::Scalar = double; Eigen::Index = long int]’
  145 |       res_i += (alpha*it.value()) * rhs.row(it.index());
      |                ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:131:19:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::internal::generic_product_impl<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::SparseShape, Eigen::DenseShape, 8>]’
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::Product<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:678:28:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::sp_tmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  678 |             _out.noalias() = _v * _mat.transpose();
      |             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:627:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; Rhs = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 1, -1>; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Derived = Eigen::Matrix<double, 1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:73:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |     dgemv(
      |     ~~~~~^
   74 |         _mat.middleCols(j, q),
      |         ~~~~~~~~~~~~~~~~~~~~~~
   75 |         _vbuff.matrix(),
      |         ~~~~~~~~~~~~~~~~
   76 |         _n_threads,
      |         ~~~~~~~~~~~
   77 |         _buff,
      |         ~~~~~~
   78 |         outm
      |         ~~~~
   79 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:63:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Rhs = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 1, -1>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, 1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:73:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |     dgemv(
      |     ~~~~~^
   74 |         _mat.middleCols(j, q),
      |         ~~~~~~~~~~~~~~~~~~~~~~
   75 |         _vbuff.matrix(),
      |         ~~~~~~~~~~~~~~~~
   76 |         _n_threads,
      |         ~~~~~~~~~~~
   77 |         _buff,
      |         ~~~~~~
   78 |         outm
      |         ~~~~
   79 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:63:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, -1, 2, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, -1, 2, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, -1, 2, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, -1, 2, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, -1, 2, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, -1, 2, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, member_sum<double, double>, 0>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, member_sum<double, double>, 0>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:264:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  264 |             out += buff.block(0, 0, n_blocks, p).colwise().sum();
      |             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:116:37:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  116 |     dgemv<util::operator_type::_add>(
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  117 |         _mat.middleCols(j, q).transpose(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  118 |         v.matrix(),
      |         ~~~~~~~~~~~                  
  119 |         _n_threads,
      |         ~~~~~~~~~~~                  
  120 |         _buff,
      |         ~~~~~~                       
  121 |         outm
      |         ~~~~                         
  122 |     );
      |     ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:108:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, -1, 2, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, -1, 2, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20:   required from ‘PacketType Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Eigen::Index = long int]’
  217 |     PanelEvaluator panel_eval(panel);
      |                    ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > > >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0> >; Functor = Eigen::internal::add_assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
  681 |     m_functor.template assignPacket<StoreMode>(&m_dst.coeffRef(index), m_src.template packet<LoadMode,PacketType>(index));
      |                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75:   required from ‘static void Eigen::internal::dense_assignment_loop<Kernel, 3, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::internal::evaluator<Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0> >, Eigen::internal::add_assign_op<double, double>, 0>]’
  437 |       kernel.template assignPacket<dstAlignment, srcAlignment, PacketType>(index);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, member_sum<double, double>, 0>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, member_sum<double, double>, 0>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:264:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  264 |             out += buff.block(0, 0, n_blocks, p).colwise().sum();
      |             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:116:37:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  116 |     dgemv<util::operator_type::_add>(
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  117 |         _mat.middleCols(j, q).transpose(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  118 |         v.matrix(),
      |         ~~~~~~~~~~~                  
  119 |         _n_threads,
      |         ~~~~~~~~~~~                  
  120 |         _buff,
      |         ~~~~~~                       
  121 |         outm
      |         ~~~~                         
  122 |     );
      |     ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:108:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Rhs = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 1, -1>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, 0>; Derived = Eigen::Matrix<double, 1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:210:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  210 |     dgemv(
      |     ~~~~~^
  211 |         _mat.array().square().matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  212 |         weights.matrix(),
      |         ~~~~~~~~~~~~~~~~~
  213 |         _n_threads,
      |         ~~~~~~~~~~~
  214 |         buff,
      |         ~~~~~
  215 |         out_m
      |         ~~~~~
  216 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:201:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Rhs = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 1, -1>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, 1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:210:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  210 |     dgemv(
      |     ~~~~~^
  211 |         _mat.array().square().matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  212 |         weights.matrix(),
      |         ~~~~~~~~~~~~~~~~~
  213 |         _n_threads,
      |         ~~~~~~~~~~~
  214 |         buff,
      |         ~~~~~
  215 |         out_m
      |         ~~~~~
  216 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:201:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>; Rhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 1, -1>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Matrix<double, 1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:200:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  200 |         dgemv(
      |         ~~~~~^
  201 |             _mat.middleCols(k_d, size).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  202 |             v.segment(n_processed, size).matrix(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  203 |             _n_threads,
      |             ~~~~~~~~~~~
  204 |             buff,
      |             ~~~~~
  205 |             Xv_m
      |             ~~~~
  206 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:178:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:28:23:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   28 |         cov.noalias() = block.transpose() * _X;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:83:13:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   83 |             cache(i, cache_size);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:68:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:28:23:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   28 |         cov.noalias() = block.transpose() * _X;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:83:13:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   83 |             cache(i, cache_size);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:68:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:28:23:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   28 |         cov.noalias() = block.transpose() * _X;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:83:13:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   83 |             cache(i, cache_size);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:68:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:43:47:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   43 |         cov.middleRows(begin, size).noalias() = (
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   44 |             block.transpose().middleRows(begin, size) * _X
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   45 |         );
      |         ~                                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:83:13:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   83 |             cache(i, cache_size);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:68:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:43:47:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   43 |         cov.middleRows(begin, size).noalias() = (
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   44 |             block.transpose().middleRows(begin, size) * _X
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   45 |         );
      |         ~                                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:83:13:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   83 |             cache(i, cache_size);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:68:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:43:47:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   43 |         cov.middleRows(begin, size).noalias() = (
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   44 |             block.transpose().middleRows(begin, size) * _X
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   45 |         );
      |         ~                                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:83:13:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   83 |             cache(i, cache_size);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:68:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, 1, -1, true> >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, 1, -1, true> >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, 1, -1, true> >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, 1, -1, true> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, 1, -1, true> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, 1, -1, true> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:43:47:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   43 |         cov.middleRows(begin, size).noalias() = (
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   44 |             block.transpose().middleRows(begin, size) * _X
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   45 |         );
      |         ~                                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:83:13:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   83 |             cache(i, cache_size);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:68:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::DenseShape, Eigen::SparseShape, 8>]’
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_sparse.ipp:109:19:   required from ‘void adelie_core::matrix::MatrixConstraintSparse<SparseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with SparseType = Eigen::SparseMatrix<double, 1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  109 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_sparse.ipp:104:1:   required from here
   10 |     MatrixConstraintSparse<SparseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::DenseShape, Eigen::SparseShape, 8>]’
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_sparse.ipp:109:19:   required from ‘void adelie_core::matrix::MatrixConstraintSparse<SparseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with SparseType = Eigen::SparseMatrix<double, 1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  109 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_sparse.ipp:104:1:   required from here
   10 |     MatrixConstraintSparse<SparseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:35:   required from ‘static void Eigen::internal::sparse_time_dense_product_impl<SparseLhsType, DenseRhsType, DenseResType, typename DenseResType::Scalar, 1, false>::processRow(const LhsEval&, const DenseRhsType&, Res&, const typename Eigen::internal::remove_all<Arg2Type>::type::Scalar&, Eigen::Index) [with SparseLhsType = Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > > >; DenseRhsType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; DenseResType = Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >; LhsEval = Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > > > >; Res = Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >; typename Eigen::internal::remove_all<Arg2Type>::type::Scalar = double; Eigen::Index = long int]’
  145 |       res_i += (alpha*it.value()) * rhs.row(it.index());
      |                ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:131:19:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::DenseShape, Eigen::SparseShape, 8>]’
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_sparse.ipp:109:19:   required from ‘void adelie_core::matrix::MatrixConstraintSparse<SparseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with SparseType = Eigen::SparseMatrix<double, 1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  109 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_sparse.ipp:104:1:   required from here
   10 |     MatrixConstraintSparse<SparseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 1, -1>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, 1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:85:10:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   85 |     dgemv(
      |     ~~~~~^
   86 |         _mat,
      |         ~~~~~
   87 |         v.matrix(),
      |         ~~~~~~~~~~~
   88 |         _n_threads,
      |         ~~~~~~~~~~~
   89 |         buff,
      |         ~~~~~
   90 |         out_m
      |         ~~~~~
   91 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:76:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 1, -1>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::Matrix<double, 1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:85:10:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   85 |     dgemv(
      |     ~~~~~^
   86 |         _mat,
      |         ~~~~~
   87 |         v.matrix(),
      |         ~~~~~~~~~~~
   88 |         _n_threads,
      |         ~~~~~~~~~~~
   89 |         buff,
      |         ~~~~~
   90 |         out_m
      |         ~~~~~
   91 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:76:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Rhs = Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 1, -1>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, 0>; Derived = Eigen::Matrix<double, 1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:105:10:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::tmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  105 |     dgemv(
      |     ~~~~~^
  106 |         _mat.transpose(),
      |         ~~~~~~~~~~~~~~~~~
  107 |         v.matrix(),
      |         ~~~~~~~~~~~
  108 |         _n_threads,
      |         ~~~~~~~~~~~
  109 |         buff,
      |         ~~~~~
  110 |         out_m
      |         ~~~~~
  111 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:96:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Rhs = Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 1, -1>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, 1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:105:10:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::tmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  105 |     dgemv(
      |     ~~~~~^
  106 |         _mat.transpose(),
      |         ~~~~~~~~~~~~~~~~~
  107 |         v.matrix(),
      |         ~~~~~~~~~~~
  108 |         _n_threads,
      |         ~~~~~~~~~~~
  109 |         buff,
      |         ~~~~~
  110 |         out_m
      |         ~~~~~
  111 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:96:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:278:57:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:19:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
  115 |       pack_lhs(blockA+info[tid].lhs_start*actual_kc, lhs.getSubMapper(info[tid].lhs_start,k), actual_kc, info[tid].lhs_length);
      |       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14:   required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; Dest = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
  230 |     Gemm::run(rows, cols, m_lhs.cols(),
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |               m_actualAlpha, m_blocking, info);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16:   required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
  141 |     return func(0,rows, 0,cols);
      |            ~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; Scalar = double]’
  508 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:19:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; U = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Derived = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:144:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; X2Type = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; size_t = long unsigned int]’
  144 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:347:26:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_sq_bmul(int, int, int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  347 |             out[0] = ddot(_mat.col(i0).array().square().matrix(), w.matrix(), n_threads, buff);
      |                      ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:785:9:   required from ‘adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:38)> [with auto:38 = long int]’
  785 |         _sq_bmul(i0, i1, l0, l1, weights, out_curr, out /* unused */);
      |         ^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:38)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:787:27:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  787 |     util::omp_parallel_for(routine, 0, _outer.size()-1, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:768:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; X2Type = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:347:26:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_sq_bmul(int, int, int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  347 |             out[0] = ddot(_mat.col(i0).array().square().matrix(), w.matrix(), n_threads, buff);
      |                      ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:785:9:   required from ‘adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:38)> [with auto:38 = long int]’
  785 |         _sq_bmul(i0, i1, l0, l1, weights, out_curr, out /* unused */);
      |         ^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:38)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:787:27:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  787 |     util::omp_parallel_for(routine, 0, _outer.size()-1, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:768:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; U = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Derived = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:144:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; X2Type = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; size_t = long unsigned int]’
  144 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:349:26:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_sq_bmul(int, int, int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  349 |             out[2] = ddot(_mat.col(i0).cwiseProduct(_mat.col(i1)).array().square().matrix(), w.matrix(), n_threads, buff);
      |                      ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:785:9:   required from ‘adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:38)> [with auto:38 = long int]’
  785 |         _sq_bmul(i0, i1, l0, l1, weights, out_curr, out /* unused */);
      |         ^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:38)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:787:27:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  787 |     util::omp_parallel_for(routine, 0, _outer.size()-1, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:768:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:158:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; X2Type = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; size_t = long unsigned int]’
  158 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:349:26:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_sq_bmul(int, int, int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  349 |             out[2] = ddot(_mat.col(i0).cwiseProduct(_mat.col(i1)).array().square().matrix(), w.matrix(), n_threads, buff);
      |                      ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:785:9:   required from ‘adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:38)> [with auto:38 = long int]’
  785 |         _sq_bmul(i0, i1, l0, l1, weights, out_curr, out /* unused */);
      |         ^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:38)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:787:27:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  787 |     util::omp_parallel_for(routine, 0, _outer.size()-1, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.ipp:768:1:   required from here
   10 |     MatrixNaiveInteractionDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; Src = Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >, 2>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:75:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >, 2>; Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]’
   75 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.ipp:284:15:   required from ‘adelie_core::matrix::MatrixNaiveSparse<Eigen::SparseMatrix<double, 0, int>, int>::sp_tmul(const adelie_core::matrix::MatrixNaiveBase<double, int>::sp_mat_value_t&, Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >) const::<lambda(auto:54)> [with auto:54 = long int]’
  284 |         out_k = vk * _mat.transpose();
      |         ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveSparse<Eigen::SparseMatrix<double, 0, int>, int>::sp_tmul(const adelie_core::matrix::MatrixNaiveBase<double, int>::sp_mat_value_t&, Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >) const::<lambda(auto:54)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.ipp:286:27:   required from ‘void adelie_core::matrix::MatrixNaiveSparse<SparseType, IndexType>::sp_tmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with SparseType = Eigen::SparseMatrix<double, 0, int>; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  286 |     util::omp_parallel_for(routine, 0, v.outerSize(), _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.ipp:262:1:   required from here
   10 |     MatrixNaiveSparse<SparseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; Src = Eigen::PartialReduxExpr<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; Src = Eigen::PartialReduxExpr<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, member_sum<double, double>, 1>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:913:9:   required from ‘void adelie_core::matrix::snp_phased_ancestry_block_dot(const IOType&, int, int, const VType&, OutType&, size_t, BuffType&) [with IOType = adelie_core::io::IOSNPPhasedAncestry<std::shared_ptr<char> >; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; OutType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
  913 |     out = mbuff.rowwise().sum();
      |     ~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.ipp:118:34:   required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry<ValueType, MmapPtrType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr<char>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  118 |     snp_phased_ancestry_block_dot(
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  119 |         _io, j, q, v * weights, out, _n_threads, _buff
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  120 |     );
      |     ~                             
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.ipp:109:1:   required from here
   14 |     MatrixNaiveSNPPhasedAncestry<ValueType, MmapPtrType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Rhs = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, 1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:401:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  401 |         dgemv(
      |         ~~~~~^
  402 |             VW.middleCols(l, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  403 |             _mat.col(i).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  404 |             _n_threads,
      |             ~~~~~~~~~~~
  405 |             buff,
      |             ~~~~~
  406 |             _out
      |             ~~~~
  407 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:483:5:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  483 |     _bmul(j, q, v, weights, out, _vbuff, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:475:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>; Rhs = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 1, -1>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Matrix<double, 1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:401:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  401 |         dgemv(
      |         ~~~~~^
  402 |             VW.middleCols(l, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  403 |             _mat.col(i).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  404 |             _n_threads,
      |             ~~~~~~~~~~~
  405 |             buff,
      |             ~~~~~
  406 |             _out
      |             ~~~~
  407 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:483:5:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  483 |     _bmul(j, q, v, weights, out, _vbuff, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:475:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:541:19:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  541 |     Out.noalias() = _mat.transpose() * VW;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:527:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:541:19:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  541 |     Out.noalias() = _mat.transpose() * VW;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:527:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:621:19:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  621 |     Out.noalias() = _mat.array().square().matrix().transpose() * W;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:610:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, member_sum<double, double>, 0>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, member_sum<double, double>, 0>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:264:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  264 |             out += buff.block(0, 0, n_blocks, p).colwise().sum();
      |             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:116:37:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  116 |     dgemv<util::operator_type::_add>(
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  117 |         _mat.middleCols(j, q).transpose(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  118 |         v.matrix(),
      |         ~~~~~~~~~~~                  
  119 |         _n_threads,
      |         ~~~~~~~~~~~                  
  120 |         _buff,
      |         ~~~~~~                       
  121 |         outm
      |         ~~~~                         
  122 |     );
      |     ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:108:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>; Rhs = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 1, -1>; Src = Eigen::Product<Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, 1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:80:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   80 |         dgemv(
      |         ~~~~~^
   81 |             _mat.middleCols(k_d, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~
   82 |             (1-2*k_sgn) * _mask.col(k_m).transpose().template cast<value_t>().cwiseProduct((v * weights).matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   83 |             _n_threads,
      |             ~~~~~~~~~~~
   84 |             buff,
      |             ~~~~~
   85 |             out_m
      |             ~~~~~
   86 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:159:5:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  159 |     _bmul(j, q, v, weights, out, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:151:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 2, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 2, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 2, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 2, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 2, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 2, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, member_sum<double, double>, 0>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, member_sum<double, double>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:262:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’
  262 |             out = buff.block(0, 0, n_blocks, p).colwise().sum();
      |             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:200:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  200 |         dgemv(
      |         ~~~~~^
  201 |             _mat.middleCols(k_d, size).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  202 |             v.segment(n_processed, size).matrix(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  203 |             _n_threads,
      |             ~~~~~~~~~~~
  204 |             buff,
      |             ~~~~~
  205 |             Xv_m
      |             ~~~~
  206 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:178:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 2, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 2, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20:   required from ‘PacketType Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Eigen::Index = long int]’
  217 |     PanelEvaluator panel_eval(panel);
      |                    ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::PartialReduxExpr<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
  681 |     m_functor.template assignPacket<StoreMode>(&m_dst.coeffRef(index), m_src.template packet<LoadMode,PacketType>(index));
      |                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75:   required from ‘static void Eigen::internal::dense_assignment_loop<Kernel, 3, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::evaluator<Eigen::PartialReduxExpr<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0> >, Eigen::internal::assign_op<double, double>, 0>]’
  437 |       kernel.template assignPacket<dstAlignment, srcAlignment, PacketType>(index);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, member_sum<double, double>, 0>; Functor = assign_op<double, double>]’
  785 |   dense_assignment_loop<Kernel>::run(kernel);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, member_sum<double, double>, 0>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, member_sum<double, double>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:262:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’
  262 |             out = buff.block(0, 0, n_blocks, p).colwise().sum();
      |             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:200:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  200 |         dgemv(
      |         ~~~~~^
  201 |             _mat.middleCols(k_d, size).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  202 |             v.segment(n_processed, size).matrix(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  203 |             _n_threads,
      |             ~~~~~~~~~~~
  204 |             buff,
      |             ~~~~~
  205 |             Xv_m
      |             ~~~~
  206 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:178:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 1, -1>; Src = Eigen::Product<Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, 1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:231:14:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:25, const auto:26&)> [with auto:25 = long int; auto:26 = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >]’
  231 |         dgemv(
      |         ~~~~~^
  232 |             _mat,
      |             ~~~~~
  233 |             _mask.col(i).transpose().template cast<value_t>().cwiseProduct(v_weights),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |             1,
      |             ~~
  235 |             buff /* unused */,
      |             ~~~~~~~~~~~~~~~~~~
  236 |             out_m
      |             ~~~~~
  237 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:240:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:27)> [with auto:27 = long int]’
  240 |     util::omp_parallel_for([&](auto i) { routine(i, v_weights); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:27)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:240:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  240 |     util::omp_parallel_for([&](auto i) { routine(i, v_weights); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:218:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<double, 1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Matrix<double, -1, -1>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:316:14:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:28, const auto:29&)> [with auto:28 = long int; auto:29 = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >]’
  316 |         dgemv(
      |         ~~~~~^
  317 |             mat_sq,
      |             ~~~~~~~
  318 |             _mask.col(i).transpose().template cast<value_t>().cwiseProduct(w.matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  319 |             1,
      |             ~~
  320 |             buff /* unused */,
      |             ~~~~~~~~~~~~~~~~~~
  321 |             out_m
      |             ~~~~~
  322 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)> [with auto:30 = long int]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:303:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 1, -1>; Src = Eigen::Product<Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, 1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Matrix<double, -1, -1>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:316:14:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:28, const auto:29&)> [with auto:28 = long int; auto:29 = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >]’
  316 |         dgemv(
      |         ~~~~~^
  317 |             mat_sq,
      |             ~~~~~~~
  318 |             _mask.col(i).transpose().template cast<value_t>().cwiseProduct(w.matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  319 |             1,
      |             ~~
  320 |             buff /* unused */,
      |             ~~~~~~~~~~~~~~~~~~
  321 |             out_m
      |             ~~~~~
  322 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)> [with auto:30 = long int]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:303:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 1, -1>; Src = Eigen::Product<Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, 1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Matrix<double, -1, -1>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:316:14:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:28, const auto:29&)> [with auto:28 = long int; auto:29 = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >]’
  316 |         dgemv(
      |         ~~~~~^
  317 |             mat_sq,
      |             ~~~~~~~
  318 |             _mask.col(i).transpose().template cast<value_t>().cwiseProduct(w.matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  319 |             1,
      |             ~~
  320 |             buff /* unused */,
      |             ~~~~~~~~~~~~~~~~~~
  321 |             out_m
      |             ~~~~~
  322 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)> [with auto:30 = long int]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:303:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:171:29:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  171 |             out_m.noalias() = X_block.transpose() * Xk;
      |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:156:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:171:29:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  171 |             out_m.noalias() = X_block.transpose() * Xk;
      |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:156:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:19:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false>, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:19:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; U = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:117:24:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_sq_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  117 |             return ddot(w.matrix(), _mat.col(slice).array().square().matrix(), n_threads, buff);
      |                    ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:235:22:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_sq_bmul(int, int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |             out[0] = _sq_cmul(begin, weights, buff);
      |                      ^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:532:9:   required from ‘adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:45)> [with auto:45 = long int]’
  532 |         _sq_bmul(j, g, level, weights, out_curr, out /* unused */);
      |         ^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:45)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:534:27:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  534 |     util::omp_parallel_for(routine, 0, _mat.cols(), _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:522:1:   required from here
   10 |     MatrixNaiveOneHotDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:117:24:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_sq_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  117 |             return ddot(w.matrix(), _mat.col(slice).array().square().matrix(), n_threads, buff);
      |                    ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:235:22:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_sq_bmul(int, int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |             out[0] = _sq_cmul(begin, weights, buff);
      |                      ^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:532:9:   required from ‘adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:45)> [with auto:45 = long int]’
  532 |         _sq_bmul(j, g, level, weights, out_curr, out /* unused */);
      |         ^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:45)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:534:27:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  534 |     util::omp_parallel_for(routine, 0, _mat.cols(), _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.ipp:522:1:   required from here
   10 |     MatrixNaiveOneHotDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 2, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 2, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 2, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 2, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 2, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 2, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; Src = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, member_sum<double, double>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:262:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  262 |             out = buff.block(0, 0, n_blocks, p).colwise().sum();
      |             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:401:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  401 |         dgemv(
      |         ~~~~~^
  402 |             VW.middleCols(l, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  403 |             _mat.col(i).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  404 |             _n_threads,
      |             ~~~~~~~~~~~
  405 |             buff,
      |             ~~~~~
  406 |             _out
      |             ~~~~
  407 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:483:5:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  483 |     _bmul(j, q, v, weights, out, _vbuff, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:475:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 2, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 2, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20:   required from ‘PacketType Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Eigen::Index = long int]’
  217 |     PanelEvaluator panel_eval(panel);
      |                    ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::PartialReduxExpr<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
  681 |     m_functor.template assignPacket<StoreMode>(&m_dst.coeffRef(index), m_src.template packet<LoadMode,PacketType>(index));
      |                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75:   required from ‘static void Eigen::internal::dense_assignment_loop<Kernel, 3, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> > >, Eigen::internal::evaluator<Eigen::PartialReduxExpr<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0> >, Eigen::internal::assign_op<double, double>, 0>]’
  437 |       kernel.template assignPacket<dstAlignment, srcAlignment, PacketType>(index);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; SrcXprType = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, member_sum<double, double>, 0>; Functor = assign_op<double, double>]’
  785 |   dense_assignment_loop<Kernel>::run(kernel);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; Src = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, member_sum<double, double>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:262:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  262 |             out = buff.block(0, 0, n_blocks, p).colwise().sum();
      |             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:401:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  401 |         dgemv(
      |         ~~~~~^
  402 |             VW.middleCols(l, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  403 |             _mat.col(i).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  404 |             _n_threads,
      |             ~~~~~~~~~~~
  405 |             buff,
      |             ~~~~~
  406 |             _out
      |             ~~~~
  407 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:483:5:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  483 |     _bmul(j, q, v, weights, out, _vbuff, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:475:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  441 |       lazyproduct::eval_dynamic(dst, lhs, rhs, internal::assign_op<typename Dst::Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:541:19:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  541 |     Out.noalias() = _mat.transpose() * VW;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:527:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  441 |       lazyproduct::eval_dynamic(dst, lhs, rhs, internal::assign_op<typename Dst::Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:621:19:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  621 |     Out.noalias() = _mat.array().square().matrix().transpose() * W;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:610:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  441 |       lazyproduct::eval_dynamic(dst, lhs, rhs, internal::assign_op<typename Dst::Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:621:19:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  621 |     Out.noalias() = _mat.array().square().matrix().transpose() * W;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:610:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:219:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  219 |             out += v * m;
      |             ~~~~^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:116:37:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  116 |     dgemv<util::operator_type::_add>(
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  117 |         _mat.middleCols(j, q).transpose(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  118 |         v.matrix(),
      |         ~~~~~~~~~~~                  
  119 |         _n_threads,
      |         ~~~~~~~~~~~                  
  120 |         _buff,
      |         ~~~~~~                       
  121 |         outm
      |         ~~~~                         
  122 |     );
      |     ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:108:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:219:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  219 |             out += v * m;
      |             ~~~~^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:116:37:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  116 |     dgemv<util::operator_type::_add>(
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  117 |         _mat.middleCols(j, q).transpose(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  118 |         v.matrix(),
      |         ~~~~~~~~~~~                  
  119 |         _n_threads,
      |         ~~~~~~~~~~~                  
  120 |         _buff,
      |         ~~~~~~                       
  121 |         outm
      |         ~~~~                         
  122 |     );
      |     ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:108:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:241:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  241 |                 out.segment(begin, size) += v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:116:37:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  116 |     dgemv<util::operator_type::_add>(
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  117 |         _mat.middleCols(j, q).transpose(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  118 |         v.matrix(),
      |         ~~~~~~~~~~~                  
  119 |         _n_threads,
      |         ~~~~~~~~~~~                  
  120 |         _buff,
      |         ~~~~~~                       
  121 |         outm
      |         ~~~~                         
  122 |     );
      |     ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:108:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, member_sum<double, double>, 0>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, member_sum<double, double>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:262:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’
  262 |             out = buff.block(0, 0, n_blocks, p).colwise().sum();
      |             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:200:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  200 |         dgemv(
      |         ~~~~~^
  201 |             _mat.middleCols(k_d, size).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  202 |             v.segment(n_processed, size).matrix(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  203 |             _n_threads,
      |             ~~~~~~~~~~~
  204 |             buff,
      |             ~~~~~
  205 |             Xv_m
      |             ~~~~
  206 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:178:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:28:23:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   28 |         cov.noalias() = block.transpose() * _X;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:83:13:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   83 |             cache(i, cache_size);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:68:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:43:47:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   43 |         cov.middleRows(begin, size).noalias() = (
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   44 |             block.transpose().middleRows(begin, size) * _X
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   45 |         );
      |         ~                                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:83:13:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   83 |             cache(i, cache_size);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:68:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>]’
  441 |       lazyproduct::eval_dynamic(dst, lhs, rhs, internal::assign_op<typename Dst::Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:171:29:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  171 |             out_m.noalias() = X_block.transpose() * Xk;
      |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:156:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, 1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_sparse.ipp:86:18:   required from ‘void adelie_core::matrix::MatrixConstraintSparse<SparseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with SparseType = Eigen::SparseMatrix<double, 1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   86 |     out.matrix() = v.matrix() * _mat;
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_sparse.ipp:81:1:   required from here
   10 |     MatrixConstraintSparse<SparseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:29:18:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::rmmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   29 |     out.matrix() = _mat.row(j) * Q;
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:23:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:29:18:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::rmmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   29 |     out.matrix() = _mat.row(j) * Q;
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:23:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  441 |       lazyproduct::eval_dynamic(dst, lhs, rhs, internal::assign_op<typename Dst::Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:19:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  441 |       lazyproduct::eval_dynamic(dst, lhs, rhs, internal::assign_op<typename Dst::Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:19:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  441 |       lazyproduct::eval_dynamic(dst, lhs, rhs, internal::assign_op<typename Dst::Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:19:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; Src = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, member_sum<double, double>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:262:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  262 |             out = buff.block(0, 0, n_blocks, p).colwise().sum();
      |             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:401:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  401 |         dgemv(
      |         ~~~~~^
  402 |             VW.middleCols(l, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  403 |             _mat.col(i).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  404 |             _n_threads,
      |             ~~~~~~~~~~~
  405 |             buff,
      |             ~~~~~
  406 |             _out
      |             ~~~~
  407 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:483:5:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  483 |     _bmul(j, q, v, weights, out, _vbuff, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:475:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:73:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |     dgemv(
      |     ~~~~~^
   74 |         _mat.middleCols(j, q),
      |         ~~~~~~~~~~~~~~~~~~~~~~
   75 |         _vbuff.matrix(),
      |         ~~~~~~~~~~~~~~~~
   76 |         _n_threads,
      |         ~~~~~~~~~~~
   77 |         _buff,
      |         ~~~~~~
   78 |         outm
      |         ~~~~
   79 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:63:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:73:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |     dgemv(
      |     ~~~~~^
   74 |         _mat.middleCols(j, q),
      |         ~~~~~~~~~~~~~~~~~~~~~~
   75 |         _vbuff.matrix(),
      |         ~~~~~~~~~~~~~~~~
   76 |         _n_threads,
      |         ~~~~~~~~~~~
   77 |         _buff,
      |         ~~~~~~
   78 |         outm
      |         ~~~~
   79 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:63:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:73:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |     dgemv(
      |     ~~~~~^
   74 |         _mat.middleCols(j, q),
      |         ~~~~~~~~~~~~~~~~~~~~~~
   75 |         _vbuff.matrix(),
      |         ~~~~~~~~~~~~~~~~
   76 |         _n_threads,
      |         ~~~~~~~~~~~
   77 |         _buff,
      |         ~~~~~~
   78 |         outm
      |         ~~~~
   79 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:63:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:73:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |     dgemv(
      |     ~~~~~^
   74 |         _mat.middleCols(j, q),
      |         ~~~~~~~~~~~~~~~~~~~~~~
   75 |         _vbuff.matrix(),
      |         ~~~~~~~~~~~~~~~~
   76 |         _n_threads,
      |         ~~~~~~~~~~~
   77 |         _buff,
      |         ~~~~~~
   78 |         outm
      |         ~~~~
   79 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:63:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:219:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  219 |             out += v * m;
      |             ~~~~^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:116:37:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  116 |     dgemv<util::operator_type::_add>(
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  117 |         _mat.middleCols(j, q).transpose(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  118 |         v.matrix(),
      |         ~~~~~~~~~~~                  
  119 |         _n_threads,
      |         ~~~~~~~~~~~                  
  120 |         _buff,
      |         ~~~~~~                       
  121 |         outm
      |         ~~~~                         
  122 |     );
      |     ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:108:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:241:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  241 |                 out.segment(begin, size) += v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:116:37:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  116 |     dgemv<util::operator_type::_add>(
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  117 |         _mat.middleCols(j, q).transpose(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  118 |         v.matrix(),
      |         ~~~~~~~~~~~                  
  119 |         _n_threads,
      |         ~~~~~~~~~~~                  
  120 |         _buff,
      |         ~~~~~~                       
  121 |         outm
      |         ~~~~                         
  122 |     );
      |     ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:108:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:116:37:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  116 |     dgemv<util::operator_type::_add>(
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  117 |         _mat.middleCols(j, q).transpose(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  118 |         v.matrix(),
      |         ~~~~~~~~~~~                  
  119 |         _n_threads,
      |         ~~~~~~~~~~~                  
  120 |         _buff,
      |         ~~~~~~                       
  121 |         outm
      |         ~~~~                         
  122 |     );
      |     ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:108:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:116:37:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  116 |     dgemv<util::operator_type::_add>(
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  117 |         _mat.middleCols(j, q).transpose(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  118 |         v.matrix(),
      |         ~~~~~~~~~~~                  
  119 |         _n_threads,
      |         ~~~~~~~~~~~                  
  120 |         _buff,
      |         ~~~~~~                       
  121 |         outm
      |         ~~~~                         
  122 |     );
      |     ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:108:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:139:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  139 |     dgemv(
      |     ~~~~~^
  140 |         _mat,
      |         ~~~~~
  141 |         vbuff.matrix(),
      |         ~~~~~~~~~~~~~~~
  142 |         _n_threads,
      |         ~~~~~~~~~~~
  143 |         buff,
      |         ~~~~~
  144 |         out_m
      |         ~~~~~
  145 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:127:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:210:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  210 |     dgemv(
      |     ~~~~~^
  211 |         _mat.array().square().matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  212 |         weights.matrix(),
      |         ~~~~~~~~~~~~~~~~~
  213 |         _n_threads,
      |         ~~~~~~~~~~~
  214 |         buff,
      |         ~~~~~
  215 |         out_m
      |         ~~~~~
  216 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:201:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, -1, 1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:210:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  210 |     dgemv(
      |     ~~~~~^
  211 |         _mat.array().square().matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  212 |         weights.matrix(),
      |         ~~~~~~~~~~~~~~~~~
  213 |         _n_threads,
      |         ~~~~~~~~~~~
  214 |         buff,
      |         ~~~~~
  215 |         out_m
      |         ~~~~~
  216 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:201:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, -1, 1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:210:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  210 |     dgemv(
      |     ~~~~~^
  211 |         _mat.array().square().matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  212 |         weights.matrix(),
      |         ~~~~~~~~~~~~~~~~~
  213 |         _n_threads,
      |         ~~~~~~~~~~~
  214 |         buff,
      |         ~~~~~
  215 |         out_m
      |         ~~~~~
  216 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:201:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> > >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> > >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from ‘class Eigen::internal::SparseTransposeImpl<const Eigen::SparseMatrix<double, 0, int>, 1024>’
   22 |   class SparseTransposeImpl<MatrixType,CompressedAccessBit>
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from ‘class Eigen::TransposeImpl<const Eigen::SparseMatrix<double, 0, int>, Eigen::Sparse>’
   45 | template<typename MatrixType> class TransposeImpl<MatrixType,Sparse>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:60:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::SparseShape, ProductType>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Rhs = Eigen::SparseMatrix<double, 0, int>; int ProductType = 7; Scalar = double]’
  216 |     internal::sparse_time_dense_product(rhsNested.transpose(), lhsNested.transpose(), dstT, alpha);
      |                                         ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >, Eigen::SparseMatrix<double, 0, int>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:648:40:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluSparse<Eigen::SparseMatrix<double, 0, int>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(int, const auto:31&)> [with auto:31 = Eigen::SparseMatrix<double, 0, int>]’
  648 |         out.segment(k * d, d).matrix() = (
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
  649 |             (weights * _mask.col(k).transpose().array().template cast<value_t>()).matrix()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  650 |         ) * mat_sq;
      |         ~~~~~~~~~~                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:652:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluSparse<Eigen::SparseMatrix<double, 0, int>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:32)> [with auto:32 = long int]’
  652 |     util::omp_parallel_for([&](auto k) { routine(k, mat_sq); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluSparse<Eigen::SparseMatrix<double, 0, int>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:32)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:652:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluSparse<SparseType, MaskType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with SparseType = Eigen::SparseMatrix<double, 0, int>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  652 |     util::omp_parallel_for([&](auto k) { routine(k, mat_sq); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:637:1:   required from here
   19 |     MatrixNaiveConvexReluSparse<SparseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:200:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  200 |         dgemv(
      |         ~~~~~^
  201 |             _mat.middleCols(k_d, size).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  202 |             v.segment(n_processed, size).matrix(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  203 |             _n_threads,
      |             ~~~~~~~~~~~
  204 |             buff,
      |             ~~~~~
  205 |             Xv_m
      |             ~~~~
  206 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:178:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:200:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  200 |         dgemv(
      |         ~~~~~^
  201 |             _mat.middleCols(k_d, size).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  202 |             v.segment(n_processed, size).matrix(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  203 |             _n_threads,
      |             ~~~~~~~~~~~
  204 |             buff,
      |             ~~~~~
  205 |             Xv_m
      |             ~~~~
  206 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:178:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:28:23:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   28 |         cov.noalias() = block.transpose() * _X;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:83:13:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   83 |             cache(i, cache_size);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:68:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:43:47:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   43 |         cov.middleRows(begin, size).noalias() = (
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   44 |             block.transpose().middleRows(begin, size) * _X
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   45 |         );
      |         ~                                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:83:13:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   83 |             cache(i, cache_size);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:68:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:135:18:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |             dgemv(
      |             ~~~~~^
  136 |                 _X,
      |                 ~~~
  137 |                 Xv_m,
      |                 ~~~~~
  138 |                 _n_threads,
      |                 ~~~~~~~~~~~
  139 |                 buff,
      |                 ~~~~~
  140 |                 XTXv_m
      |                 ~~~~~~
  141 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:103:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:135:18:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |             dgemv(
      |             ~~~~~^
  136 |                 _X,
      |                 ~~~
  137 |                 Xv_m,
      |                 ~~~~~
  138 |                 _n_threads,
      |                 ~~~~~~~~~~~
  139 |                 buff,
      |                 ~~~~~
  140 |                 XTXv_m
      |                 ~~~~~~
  141 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:103:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:171:29:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  171 |             out_m.noalias() = X_block.transpose() * Xk;
      |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:156:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:171:29:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  171 |             out_m.noalias() = X_block.transpose() * Xk;
      |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:156:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:29:18:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::rmmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   29 |     out.matrix() = _mat.row(j) * Q;
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:23:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:29:18:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::rmmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   29 |     out.matrix() = _mat.row(j) * Q;
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:23:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:85:10:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   85 |     dgemv(
      |     ~~~~~^
   86 |         _mat,
      |         ~~~~~
   87 |         v.matrix(),
      |         ~~~~~~~~~~~
   88 |         _n_threads,
      |         ~~~~~~~~~~~
   89 |         buff,
      |         ~~~~~
   90 |         out_m
      |         ~~~~~
   91 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:76:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:85:10:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   85 |     dgemv(
      |     ~~~~~^
   86 |         _mat,
      |         ~~~~~
   87 |         v.matrix(),
      |         ~~~~~~~~~~~
   88 |         _n_threads,
      |         ~~~~~~~~~~~
   89 |         buff,
      |         ~~~~~
   90 |         out_m
      |         ~~~~~
   91 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:76:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:105:10:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::tmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  105 |     dgemv(
      |     ~~~~~^
  106 |         _mat.transpose(),
      |         ~~~~~~~~~~~~~~~~~
  107 |         v.matrix(),
      |         ~~~~~~~~~~~
  108 |         _n_threads,
      |         ~~~~~~~~~~~
  109 |         buff,
      |         ~~~~~
  110 |         out_m
      |         ~~~~~
  111 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:96:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:105:10:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::tmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  105 |     dgemv(
      |     ~~~~~^
  106 |         _mat.transpose(),
      |         ~~~~~~~~~~~~~~~~~
  107 |         v.matrix(),
      |         ~~~~~~~~~~~
  108 |         _n_threads,
      |         ~~~~~~~~~~~
  109 |         buff,
      |         ~~~~~
  110 |         out_m
      |         ~~~~~
  111 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:96:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:19:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:19:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:19:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:19:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:19:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:19:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; Src = Eigen::PartialReduxExpr<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; Src = Eigen::PartialReduxExpr<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, member_sum<double, double>, 1>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:913:9:   required from ‘void adelie_core::matrix::snp_phased_ancestry_block_dot(const IOType&, int, int, const VType&, OutType&, size_t, BuffType&) [with IOType = adelie_core::io::IOSNPPhasedAncestry<std::shared_ptr<char> >; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; OutType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
  913 |     out = mbuff.rowwise().sum();
      |     ~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.ipp:118:34:   required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry<ValueType, MmapPtrType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr<char>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  118 |     snp_phased_ancestry_block_dot(
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  119 |         _io, j, q, v * weights, out, _n_threads, _buff
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  120 |     );
      |     ~                             
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.ipp:109:1:   required from here
   14 |     MatrixNaiveSNPPhasedAncestry<ValueType, MmapPtrType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:401:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  401 |         dgemv(
      |         ~~~~~^
  402 |             VW.middleCols(l, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  403 |             _mat.col(i).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  404 |             _n_threads,
      |             ~~~~~~~~~~~
  405 |             buff,
      |             ~~~~~
  406 |             _out
      |             ~~~~
  407 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:483:5:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  483 |     _bmul(j, q, v, weights, out, _vbuff, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:475:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:401:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  401 |         dgemv(
      |         ~~~~~^
  402 |             VW.middleCols(l, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  403 |             _mat.col(i).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  404 |             _n_threads,
      |             ~~~~~~~~~~~
  405 |             buff,
      |             ~~~~~
  406 |             _out
      |             ~~~~
  407 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:483:5:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  483 |     _bmul(j, q, v, weights, out, _vbuff, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:475:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:401:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  401 |         dgemv(
      |         ~~~~~^
  402 |             VW.middleCols(l, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  403 |             _mat.col(i).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  404 |             _n_threads,
      |             ~~~~~~~~~~~
  405 |             buff,
      |             ~~~~~
  406 |             _out
      |             ~~~~
  407 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:483:5:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  483 |     _bmul(j, q, v, weights, out, _vbuff, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:475:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:401:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  401 |         dgemv(
      |         ~~~~~^
  402 |             VW.middleCols(l, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  403 |             _mat.col(i).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  404 |             _n_threads,
      |             ~~~~~~~~~~~
  405 |             buff,
      |             ~~~~~
  406 |             _out
      |             ~~~~
  407 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:483:5:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  483 |     _bmul(j, q, v, weights, out, _vbuff, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:475:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:73:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |     dgemv(
      |     ~~~~~^
   74 |         _mat.middleCols(j, q),
      |         ~~~~~~~~~~~~~~~~~~~~~~
   75 |         _vbuff.matrix(),
      |         ~~~~~~~~~~~~~~~~
   76 |         _n_threads,
      |         ~~~~~~~~~~~
   77 |         _buff,
      |         ~~~~~~
   78 |         outm
      |         ~~~~
   79 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:63:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:73:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |     dgemv(
      |     ~~~~~^
   74 |         _mat.middleCols(j, q),
      |         ~~~~~~~~~~~~~~~~~~~~~~
   75 |         _vbuff.matrix(),
      |         ~~~~~~~~~~~~~~~~
   76 |         _n_threads,
      |         ~~~~~~~~~~~
   77 |         _buff,
      |         ~~~~~~
   78 |         outm
      |         ~~~~
   79 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:63:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:219:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  219 |             out += v * m;
      |             ~~~~^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:116:37:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  116 |     dgemv<util::operator_type::_add>(
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  117 |         _mat.middleCols(j, q).transpose(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  118 |         v.matrix(),
      |         ~~~~~~~~~~~                  
  119 |         _n_threads,
      |         ~~~~~~~~~~~                  
  120 |         _buff,
      |         ~~~~~~                       
  121 |         outm
      |         ~~~~                         
  122 |     );
      |     ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:108:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:219:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  219 |             out += v * m;
      |             ~~~~^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:116:37:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  116 |     dgemv<util::operator_type::_add>(
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  117 |         _mat.middleCols(j, q).transpose(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  118 |         v.matrix(),
      |         ~~~~~~~~~~~                  
  119 |         _n_threads,
      |         ~~~~~~~~~~~                  
  120 |         _buff,
      |         ~~~~~~                       
  121 |         outm
      |         ~~~~                         
  122 |     );
      |     ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:108:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:241:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  241 |                 out.segment(begin, size) += v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:116:37:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  116 |     dgemv<util::operator_type::_add>(
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  117 |         _mat.middleCols(j, q).transpose(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  118 |         v.matrix(),
      |         ~~~~~~~~~~~                  
  119 |         _n_threads,
      |         ~~~~~~~~~~~                  
  120 |         _buff,
      |         ~~~~~~                       
  121 |         outm
      |         ~~~~                         
  122 |     );
      |     ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:108:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:116:37:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  116 |     dgemv<util::operator_type::_add>(
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  117 |         _mat.middleCols(j, q).transpose(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  118 |         v.matrix(),
      |         ~~~~~~~~~~~                  
  119 |         _n_threads,
      |         ~~~~~~~~~~~                  
  120 |         _buff,
      |         ~~~~~~                       
  121 |         outm
      |         ~~~~                         
  122 |     );
      |     ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:108:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, -1, 1, false> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, -1, 1, false>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, member_sum<double, double>, 0>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, member_sum<double, double>, 0>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:264:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  264 |             out += buff.block(0, 0, n_blocks, p).colwise().sum();
      |             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:116:37:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  116 |     dgemv<util::operator_type::_add>(
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  117 |         _mat.middleCols(j, q).transpose(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  118 |         v.matrix(),
      |         ~~~~~~~~~~~                  
  119 |         _n_threads,
      |         ~~~~~~~~~~~                  
  120 |         _buff,
      |         ~~~~~~                       
  121 |         outm
      |         ~~~~                         
  122 |     );
      |     ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:108:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:139:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  139 |     dgemv(
      |     ~~~~~^
  140 |         _mat,
      |         ~~~~~
  141 |         vbuff.matrix(),
      |         ~~~~~~~~~~~~~~~
  142 |         _n_threads,
      |         ~~~~~~~~~~~
  143 |         buff,
      |         ~~~~~
  144 |         out_m
      |         ~~~~~
  145 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:127:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Rhs = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]’
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |             ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:210:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  210 |     dgemv(
      |     ~~~~~^
  211 |         _mat.array().square().matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  212 |         weights.matrix(),
      |         ~~~~~~~~~~~~~~~~~
  213 |         _n_threads,
      |         ~~~~~~~~~~~
  214 |         buff,
      |         ~~~~~
  215 |         out_m
      |         ~~~~~
  216 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:201:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Rhs = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]’
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |             ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:210:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  210 |     dgemv(
      |     ~~~~~^
  211 |         _mat.array().square().matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  212 |         weights.matrix(),
      |         ~~~~~~~~~~~~~~~~~
  213 |         _n_threads,
      |         ~~~~~~~~~~~
  214 |         buff,
      |         ~~~~~
  215 |         out_m
      |         ~~~~~
  216 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:201:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:80:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   80 |         dgemv(
      |         ~~~~~^
   81 |             _mat.middleCols(k_d, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~
   82 |             (1-2*k_sgn) * _mask.col(k_m).transpose().template cast<value_t>().cwiseProduct((v * weights).matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   83 |             _n_threads,
      |             ~~~~~~~~~~~
   84 |             buff,
      |             ~~~~~
   85 |             out_m
      |             ~~~~~
   86 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:159:5:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  159 |     _bmul(j, q, v, weights, out, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:151:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, 1, -1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, 1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, 1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:80:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   80 |         dgemv(
      |         ~~~~~^
   81 |             _mat.middleCols(k_d, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~
   82 |             (1-2*k_sgn) * _mask.col(k_m).transpose().template cast<value_t>().cwiseProduct((v * weights).matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   83 |             _n_threads,
      |             ~~~~~~~~~~~
   84 |             buff,
      |             ~~~~~
   85 |             out_m
      |             ~~~~~
   86 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:159:5:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  159 |     _bmul(j, q, v, weights, out, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:151:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:200:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  200 |         dgemv(
      |         ~~~~~^
  201 |             _mat.middleCols(k_d, size).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  202 |             v.segment(n_processed, size).matrix(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  203 |             _n_threads,
      |             ~~~~~~~~~~~
  204 |             buff,
      |             ~~~~~
  205 |             Xv_m
      |             ~~~~
  206 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:178:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:200:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  200 |         dgemv(
      |         ~~~~~^
  201 |             _mat.middleCols(k_d, size).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  202 |             v.segment(n_processed, size).matrix(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  203 |             _n_threads,
      |             ~~~~~~~~~~~
  204 |             buff,
      |             ~~~~~
  205 |             Xv_m
      |             ~~~~
  206 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:178:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:231:14:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:25, const auto:26&)> [with auto:25 = long int; auto:26 = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >]’
  231 |         dgemv(
      |         ~~~~~^
  232 |             _mat,
      |             ~~~~~
  233 |             _mask.col(i).transpose().template cast<value_t>().cwiseProduct(v_weights),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |             1,
      |             ~~
  235 |             buff /* unused */,
      |             ~~~~~~~~~~~~~~~~~~
  236 |             out_m
      |             ~~~~~
  237 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:240:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:27)> [with auto:27 = long int]’
  240 |     util::omp_parallel_for([&](auto i) { routine(i, v_weights); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:27)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:240:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  240 |     util::omp_parallel_for([&](auto i) { routine(i, v_weights); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:218:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, 1, -1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, 1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, 1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:231:14:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:25, const auto:26&)> [with auto:25 = long int; auto:26 = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >]’
  231 |         dgemv(
      |         ~~~~~^
  232 |             _mat,
      |             ~~~~~
  233 |             _mask.col(i).transpose().template cast<value_t>().cwiseProduct(v_weights),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |             1,
      |             ~~
  235 |             buff /* unused */,
      |             ~~~~~~~~~~~~~~~~~~
  236 |             out_m
      |             ~~~~~
  237 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:240:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:27)> [with auto:27 = long int]’
  240 |     util::omp_parallel_for([&](auto i) { routine(i, v_weights); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:27)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:240:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  240 |     util::omp_parallel_for([&](auto i) { routine(i, v_weights); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:218:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Matrix<double, -1, -1>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:316:14:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:28, const auto:29&)> [with auto:28 = long int; auto:29 = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >]’
  316 |         dgemv(
      |         ~~~~~^
  317 |             mat_sq,
      |             ~~~~~~~
  318 |             _mask.col(i).transpose().template cast<value_t>().cwiseProduct(w.matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  319 |             1,
      |             ~~
  320 |             buff /* unused */,
      |             ~~~~~~~~~~~~~~~~~~
  321 |             out_m
      |             ~~~~~
  322 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)> [with auto:30 = long int]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:303:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Matrix<double, -1, -1>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:316:14:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:28, const auto:29&)> [with auto:28 = long int; auto:29 = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >]’
  316 |         dgemv(
      |         ~~~~~^
  317 |             mat_sq,
      |             ~~~~~~~
  318 |             _mask.col(i).transpose().template cast<value_t>().cwiseProduct(w.matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  319 |             1,
      |             ~~
  320 |             buff /* unused */,
      |             ~~~~~~~~~~~~~~~~~~
  321 |             out_m
      |             ~~~~~
  322 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)> [with auto:30 = long int]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:303:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Matrix<double, -1, -1>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:316:14:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:28, const auto:29&)> [with auto:28 = long int; auto:29 = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >]’
  316 |         dgemv(
      |         ~~~~~^
  317 |             mat_sq,
      |             ~~~~~~~
  318 |             _mask.col(i).transpose().template cast<value_t>().cwiseProduct(w.matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  319 |             1,
      |             ~~
  320 |             buff /* unused */,
      |             ~~~~~~~~~~~~~~~~~~
  321 |             out_m
      |             ~~~~~
  322 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)> [with auto:30 = long int]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:303:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, 1, -1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, 1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, 1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Matrix<double, -1, -1>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:316:14:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:28, const auto:29&)> [with auto:28 = long int; auto:29 = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >]’
  316 |         dgemv(
      |         ~~~~~^
  317 |             mat_sq,
      |             ~~~~~~~
  318 |             _mask.col(i).transpose().template cast<value_t>().cwiseProduct(w.matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  319 |             1,
      |             ~~
  320 |             buff /* unused */,
      |             ~~~~~~~~~~~~~~~~~~
  321 |             out_m
      |             ~~~~~
  322 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)> [with auto:30 = long int]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:303:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Matrix<double, -1, -1>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:316:14:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:28, const auto:29&)> [with auto:28 = long int; auto:29 = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >]’
  316 |         dgemv(
      |         ~~~~~^
  317 |             mat_sq,
      |             ~~~~~~~
  318 |             _mask.col(i).transpose().template cast<value_t>().cwiseProduct(w.matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  319 |             1,
      |             ~~
  320 |             buff /* unused */,
      |             ~~~~~~~~~~~~~~~~~~
  321 |             out_m
      |             ~~~~~
  322 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)> [with auto:30 = long int]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:303:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:28:23:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   28 |         cov.noalias() = block.transpose() * _X;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:83:13:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   83 |             cache(i, cache_size);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:68:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:28:23:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   28 |         cov.noalias() = block.transpose() * _X;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:83:13:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   83 |             cache(i, cache_size);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:68:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:43:47:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   43 |         cov.middleRows(begin, size).noalias() = (
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   44 |             block.transpose().middleRows(begin, size) * _X
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   45 |         );
      |         ~                                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:83:13:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   83 |             cache(i, cache_size);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:68:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:43:47:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   43 |         cov.middleRows(begin, size).noalias() = (
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   44 |             block.transpose().middleRows(begin, size) * _X
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   45 |         );
      |         ~                                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:83:13:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   83 |             cache(i, cache_size);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:68:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:135:18:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |             dgemv(
      |             ~~~~~^
  136 |                 _X,
      |                 ~~~
  137 |                 Xv_m,
      |                 ~~~~~
  138 |                 _n_threads,
      |                 ~~~~~~~~~~~
  139 |                 buff,
      |                 ~~~~~
  140 |                 XTXv_m
      |                 ~~~~~~
  141 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:103:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:135:18:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |             dgemv(
      |             ~~~~~^
  136 |                 _X,
      |                 ~~~
  137 |                 Xv_m,
      |                 ~~~~~
  138 |                 _n_threads,
      |                 ~~~~~~~~~~~
  139 |                 buff,
      |                 ~~~~~
  140 |                 XTXv_m
      |                 ~~~~~~
  141 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:103:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:29:18:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::rmmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   29 |     out.matrix() = _mat.row(j) * Q;
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:23:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:29:18:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::rmmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   29 |     out.matrix() = _mat.row(j) * Q;
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:23:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:29:18:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::rmmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   29 |     out.matrix() = _mat.row(j) * Q;
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:23:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:85:10:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   85 |     dgemv(
      |     ~~~~~^
   86 |         _mat,
      |         ~~~~~
   87 |         v.matrix(),
      |         ~~~~~~~~~~~
   88 |         _n_threads,
      |         ~~~~~~~~~~~
   89 |         buff,
      |         ~~~~~
   90 |         out_m
      |         ~~~~~
   91 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:76:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:85:10:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   85 |     dgemv(
      |     ~~~~~^
   86 |         _mat,
      |         ~~~~~
   87 |         v.matrix(),
      |         ~~~~~~~~~~~
   88 |         _n_threads,
      |         ~~~~~~~~~~~
   89 |         buff,
      |         ~~~~~
   90 |         out_m
      |         ~~~~~
   91 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:76:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:105:10:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::tmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  105 |     dgemv(
      |     ~~~~~^
  106 |         _mat.transpose(),
      |         ~~~~~~~~~~~~~~~~~
  107 |         v.matrix(),
      |         ~~~~~~~~~~~
  108 |         _n_threads,
      |         ~~~~~~~~~~~
  109 |         buff,
      |         ~~~~~
  110 |         out_m
      |         ~~~~~
  111 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:96:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:105:10:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::tmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  105 |     dgemv(
      |     ~~~~~^
  106 |         _mat.transpose(),
      |         ~~~~~~~~~~~~~~~~~
  107 |         v.matrix(),
      |         ~~~~~~~~~~~
  108 |         _n_threads,
      |         ~~~~~~~~~~~
  109 |         buff,
      |         ~~~~~
  110 |         out_m
      |         ~~~~~
  111 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:96:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  441 |       lazyproduct::eval_dynamic(dst, lhs, rhs, internal::assign_op<typename Dst::Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:19:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:19:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:19:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:401:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  401 |         dgemv(
      |         ~~~~~^
  402 |             VW.middleCols(l, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  403 |             _mat.col(i).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  404 |             _n_threads,
      |             ~~~~~~~~~~~
  405 |             buff,
      |             ~~~~~
  406 |             _out
      |             ~~~~
  407 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:483:5:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  483 |     _bmul(j, q, v, weights, out, _vbuff, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:475:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:401:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  401 |         dgemv(
      |         ~~~~~^
  402 |             VW.middleCols(l, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  403 |             _mat.col(i).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  404 |             _n_threads,
      |             ~~~~~~~~~~~
  405 |             buff,
      |             ~~~~~
  406 |             _out
      |             ~~~~
  407 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:483:5:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  483 |     _bmul(j, q, v, weights, out, _vbuff, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:475:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:401:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  401 |         dgemv(
      |         ~~~~~^
  402 |             VW.middleCols(l, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  403 |             _mat.col(i).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  404 |             _n_threads,
      |             ~~~~~~~~~~~
  405 |             buff,
      |             ~~~~~
  406 |             _out
      |             ~~~~
  407 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:483:5:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  483 |     _bmul(j, q, v, weights, out, _vbuff, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:475:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:401:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  401 |         dgemv(
      |         ~~~~~^
  402 |             VW.middleCols(l, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  403 |             _mat.col(i).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  404 |             _n_threads,
      |             ~~~~~~~~~~~
  405 |             buff,
      |             ~~~~~
  406 |             _out
      |             ~~~~
  407 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:483:5:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  483 |     _bmul(j, q, v, weights, out, _vbuff, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:475:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:73:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |     dgemv(
      |     ~~~~~^
   74 |         _mat.middleCols(j, q),
      |         ~~~~~~~~~~~~~~~~~~~~~~
   75 |         _vbuff.matrix(),
      |         ~~~~~~~~~~~~~~~~
   76 |         _n_threads,
      |         ~~~~~~~~~~~
   77 |         _buff,
      |         ~~~~~~
   78 |         outm
      |         ~~~~
   79 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:63:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:73:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |     dgemv(
      |     ~~~~~^
   74 |         _mat.middleCols(j, q),
      |         ~~~~~~~~~~~~~~~~~~~~~~
   75 |         _vbuff.matrix(),
      |         ~~~~~~~~~~~~~~~~
   76 |         _n_threads,
      |         ~~~~~~~~~~~
   77 |         _buff,
      |         ~~~~~~
   78 |         outm
      |         ~~~~
   79 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:63:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:73:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |     dgemv(
      |     ~~~~~^
   74 |         _mat.middleCols(j, q),
      |         ~~~~~~~~~~~~~~~~~~~~~~
   75 |         _vbuff.matrix(),
      |         ~~~~~~~~~~~~~~~~
   76 |         _n_threads,
      |         ~~~~~~~~~~~
   77 |         _buff,
      |         ~~~~~~
   78 |         outm
      |         ~~~~
   79 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:63:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:73:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |     dgemv(
      |     ~~~~~^
   74 |         _mat.middleCols(j, q),
      |         ~~~~~~~~~~~~~~~~~~~~~~
   75 |         _vbuff.matrix(),
      |         ~~~~~~~~~~~~~~~~
   76 |         _n_threads,
      |         ~~~~~~~~~~~
   77 |         _buff,
      |         ~~~~~~
   78 |         outm
      |         ~~~~
   79 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:63:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:73:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |     dgemv(
      |     ~~~~~^
   74 |         _mat.middleCols(j, q),
      |         ~~~~~~~~~~~~~~~~~~~~~~
   75 |         _vbuff.matrix(),
      |         ~~~~~~~~~~~~~~~~
   76 |         _n_threads,
      |         ~~~~~~~~~~~
   77 |         _buff,
      |         ~~~~~~
   78 |         outm
      |         ~~~~
   79 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:63:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:116:37:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  116 |     dgemv<util::operator_type::_add>(
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  117 |         _mat.middleCols(j, q).transpose(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  118 |         v.matrix(),
      |         ~~~~~~~~~~~                  
  119 |         _n_threads,
      |         ~~~~~~~~~~~                  
  120 |         _buff,
      |         ~~~~~~                       
  121 |         outm
      |         ~~~~                         
  122 |     );
      |     ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:108:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:116:37:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  116 |     dgemv<util::operator_type::_add>(
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  117 |         _mat.middleCols(j, q).transpose(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  118 |         v.matrix(),
      |         ~~~~~~~~~~~                  
  119 |         _n_threads,
      |         ~~~~~~~~~~~                  
  120 |         _buff,
      |         ~~~~~~                       
  121 |         outm
      |         ~~~~                         
  122 |     );
      |     ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:108:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:139:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  139 |     dgemv(
      |     ~~~~~^
  140 |         _mat,
      |         ~~~~~
  141 |         vbuff.matrix(),
      |         ~~~~~~~~~~~~~~~
  142 |         _n_threads,
      |         ~~~~~~~~~~~
  143 |         buff,
      |         ~~~~~
  144 |         out_m
      |         ~~~~~
  145 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:127:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:139:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  139 |     dgemv(
      |     ~~~~~^
  140 |         _mat,
      |         ~~~~~
  141 |         vbuff.matrix(),
      |         ~~~~~~~~~~~~~~~
  142 |         _n_threads,
      |         ~~~~~~~~~~~
  143 |         buff,
      |         ~~~~~
  144 |         out_m
      |         ~~~~~
  145 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:127:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:210:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  210 |     dgemv(
      |     ~~~~~^
  211 |         _mat.array().square().matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  212 |         weights.matrix(),
      |         ~~~~~~~~~~~~~~~~~
  213 |         _n_threads,
      |         ~~~~~~~~~~~
  214 |         buff,
      |         ~~~~~
  215 |         out_m
      |         ~~~~~
  216 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:201:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:80:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:210:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  210 |     dgemv(
      |     ~~~~~^
  211 |         _mat.array().square().matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  212 |         weights.matrix(),
      |         ~~~~~~~~~~~~~~~~~
  213 |         _n_threads,
      |         ~~~~~~~~~~~
  214 |         buff,
      |         ~~~~~
  215 |         out_m
      |         ~~~~~
  216 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:201:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >; Rhs = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Dest = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; typename Dest::Scalar = double]’
  379 |       dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum();
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:210:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  210 |     dgemv(
      |     ~~~~~^
  211 |         _mat.array().square().matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  212 |         weights.matrix(),
      |         ~~~~~~~~~~~~~~~~~
  213 |         _n_threads,
      |         ~~~~~~~~~~~
  214 |         buff,
      |         ~~~~~
  215 |         out_m
      |         ~~~~~
  216 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:201:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:210:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  210 |     dgemv(
      |     ~~~~~^
  211 |         _mat.array().square().matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  212 |         weights.matrix(),
      |         ~~~~~~~~~~~~~~~~~
  213 |         _n_threads,
      |         ~~~~~~~~~~~
  214 |         buff,
      |         ~~~~~
  215 |         out_m
      |         ~~~~~
  216 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:201:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true> >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true> >, 1, -1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true> >, 1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true> >, 1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:43:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:210:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  210 |     dgemv(
      |     ~~~~~^
  211 |         _mat.array().square().matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  212 |         weights.matrix(),
      |         ~~~~~~~~~~~~~~~~~
  213 |         _n_threads,
      |         ~~~~~~~~~~~
  214 |         buff,
      |         ~~~~~
  215 |         out_m
      |         ~~~~~
  216 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:201:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true> >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true> >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true> >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true> >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true> >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true> >; Rhs = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Dest = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; typename Dest::Scalar = double]’
  379 |       dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum();
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:210:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  210 |     dgemv(
      |     ~~~~~^
  211 |         _mat.array().square().matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  212 |         weights.matrix(),
      |         ~~~~~~~~~~~~~~~~~
  213 |         _n_threads,
      |         ~~~~~~~~~~~
  214 |         buff,
      |         ~~~~~
  215 |         out_m
      |         ~~~~~
  216 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:201:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:210:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  210 |     dgemv(
      |     ~~~~~^
  211 |         _mat.array().square().matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  212 |         weights.matrix(),
      |         ~~~~~~~~~~~~~~~~~
  213 |         _n_threads,
      |         ~~~~~~~~~~~
  214 |         buff,
      |         ~~~~~
  215 |         out_m
      |         ~~~~~
  216 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:201:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false> >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false> >, 1, -1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false> >, 1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false> >, 1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:43:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:210:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  210 |     dgemv(
      |     ~~~~~^
  211 |         _mat.array().square().matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  212 |         weights.matrix(),
      |         ~~~~~~~~~~~~~~~~~
  213 |         _n_threads,
      |         ~~~~~~~~~~~
  214 |         buff,
      |         ~~~~~
  215 |         out_m
      |         ~~~~~
  216 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:201:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:80:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:210:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  210 |     dgemv(
      |     ~~~~~^
  211 |         _mat.array().square().matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  212 |         weights.matrix(),
      |         ~~~~~~~~~~~~~~~~~
  213 |         _n_threads,
      |         ~~~~~~~~~~~
  214 |         buff,
      |         ~~~~~
  215 |         out_m
      |         ~~~~~
  216 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:201:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false> >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false> >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false> >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false> >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false> >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >; Dest = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; typename Dest::Scalar = double]’
  379 |       dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum();
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:210:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  210 |     dgemv(
      |     ~~~~~^
  211 |         _mat.array().square().matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  212 |         weights.matrix(),
      |         ~~~~~~~~~~~~~~~~~
  213 |         _n_threads,
      |         ~~~~~~~~~~~
  214 |         buff,
      |         ~~~~~
  215 |         out_m
      |         ~~~~~
  216 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:201:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |                              ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:80:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   80 |         dgemv(
      |         ~~~~~^
   81 |             _mat.middleCols(k_d, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~
   82 |             (1-2*k_sgn) * _mask.col(k_m).transpose().template cast<value_t>().cwiseProduct((v * weights).matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   83 |             _n_threads,
      |             ~~~~~~~~~~~
   84 |             buff,
      |             ~~~~~
   85 |             out_m
      |             ~~~~~
   86 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:159:5:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  159 |     _bmul(j, q, v, weights, out, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:151:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>; Rhs = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |                              ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:80:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   80 |         dgemv(
      |         ~~~~~^
   81 |             _mat.middleCols(k_d, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~
   82 |             (1-2*k_sgn) * _mask.col(k_m).transpose().template cast<value_t>().cwiseProduct((v * weights).matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   83 |             _n_threads,
      |             ~~~~~~~~~~~
   84 |             buff,
      |             ~~~~~
   85 |             out_m
      |             ~~~~~
   86 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:159:5:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  159 |     _bmul(j, q, v, weights, out, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:151:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:200:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  200 |         dgemv(
      |         ~~~~~^
  201 |             _mat.middleCols(k_d, size).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  202 |             v.segment(n_processed, size).matrix(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  203 |             _n_threads,
      |             ~~~~~~~~~~~
  204 |             buff,
      |             ~~~~~
  205 |             Xv_m
      |             ~~~~
  206 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:178:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:200:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  200 |         dgemv(
      |         ~~~~~^
  201 |             _mat.middleCols(k_d, size).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  202 |             v.segment(n_processed, size).matrix(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  203 |             _n_threads,
      |             ~~~~~~~~~~~
  204 |             buff,
      |             ~~~~~
  205 |             Xv_m
      |             ~~~~
  206 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:178:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:200:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  200 |         dgemv(
      |         ~~~~~^
  201 |             _mat.middleCols(k_d, size).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  202 |             v.segment(n_processed, size).matrix(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  203 |             _n_threads,
      |             ~~~~~~~~~~~
  204 |             buff,
      |             ~~~~~
  205 |             Xv_m
      |             ~~~~
  206 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:178:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:200:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  200 |         dgemv(
      |         ~~~~~^
  201 |             _mat.middleCols(k_d, size).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  202 |             v.segment(n_processed, size).matrix(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  203 |             _n_threads,
      |             ~~~~~~~~~~~
  204 |             buff,
      |             ~~~~~
  205 |             Xv_m
      |             ~~~~
  206 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:178:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:200:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  200 |         dgemv(
      |         ~~~~~^
  201 |             _mat.middleCols(k_d, size).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  202 |             v.segment(n_processed, size).matrix(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  203 |             _n_threads,
      |             ~~~~~~~~~~~
  204 |             buff,
      |             ~~~~~
  205 |             Xv_m
      |             ~~~~
  206 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:178:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, member_sum<double, double>, 0>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, member_sum<double, double>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:262:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’
  262 |             out = buff.block(0, 0, n_blocks, p).colwise().sum();
      |             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:200:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  200 |         dgemv(
      |         ~~~~~^
  201 |             _mat.middleCols(k_d, size).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  202 |             v.segment(n_processed, size).matrix(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  203 |             _n_threads,
      |             ~~~~~~~~~~~
  204 |             buff,
      |             ~~~~~
  205 |             Xv_m
      |             ~~~~
  206 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:178:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |                              ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:231:14:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:25, const auto:26&)> [with auto:25 = long int; auto:26 = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >]’
  231 |         dgemv(
      |         ~~~~~^
  232 |             _mat,
      |             ~~~~~
  233 |             _mask.col(i).transpose().template cast<value_t>().cwiseProduct(v_weights),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |             1,
      |             ~~
  235 |             buff /* unused */,
      |             ~~~~~~~~~~~~~~~~~~
  236 |             out_m
      |             ~~~~~
  237 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:240:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:27)> [with auto:27 = long int]’
  240 |     util::omp_parallel_for([&](auto i) { routine(i, v_weights); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:27)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:240:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  240 |     util::omp_parallel_for([&](auto i) { routine(i, v_weights); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:218:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |                              ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:231:14:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:25, const auto:26&)> [with auto:25 = long int; auto:26 = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >]’
  231 |         dgemv(
      |         ~~~~~^
  232 |             _mat,
      |             ~~~~~
  233 |             _mask.col(i).transpose().template cast<value_t>().cwiseProduct(v_weights),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |             1,
      |             ~~
  235 |             buff /* unused */,
      |             ~~~~~~~~~~~~~~~~~~
  236 |             out_m
      |             ~~~~~
  237 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:240:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:27)> [with auto:27 = long int]’
  240 |     util::omp_parallel_for([&](auto i) { routine(i, v_weights); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:27)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:240:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  240 |     util::omp_parallel_for([&](auto i) { routine(i, v_weights); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:218:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |                              ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Matrix<double, -1, -1>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:316:14:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:28, const auto:29&)> [with auto:28 = long int; auto:29 = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >]’
  316 |         dgemv(
      |         ~~~~~^
  317 |             mat_sq,
      |             ~~~~~~~
  318 |             _mask.col(i).transpose().template cast<value_t>().cwiseProduct(w.matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  319 |             1,
      |             ~~
  320 |             buff /* unused */,
      |             ~~~~~~~~~~~~~~~~~~
  321 |             out_m
      |             ~~~~~
  322 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)> [with auto:30 = long int]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:303:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Matrix<double, -1, -1>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:316:14:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:28, const auto:29&)> [with auto:28 = long int; auto:29 = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >]’
  316 |         dgemv(
      |         ~~~~~^
  317 |             mat_sq,
      |             ~~~~~~~
  318 |             _mask.col(i).transpose().template cast<value_t>().cwiseProduct(w.matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  319 |             1,
      |             ~~
  320 |             buff /* unused */,
      |             ~~~~~~~~~~~~~~~~~~
  321 |             out_m
      |             ~~~~~
  322 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)> [with auto:30 = long int]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:303:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |                              ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Matrix<double, -1, -1>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:316:14:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:28, const auto:29&)> [with auto:28 = long int; auto:29 = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >]’
  316 |         dgemv(
      |         ~~~~~^
  317 |             mat_sq,
      |             ~~~~~~~
  318 |             _mask.col(i).transpose().template cast<value_t>().cwiseProduct(w.matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  319 |             1,
      |             ~~
  320 |             buff /* unused */,
      |             ~~~~~~~~~~~~~~~~~~
  321 |             out_m
      |             ~~~~~
  322 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)> [with auto:30 = long int]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:303:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:135:18:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |             dgemv(
      |             ~~~~~^
  136 |                 _X,
      |                 ~~~
  137 |                 Xv_m,
      |                 ~~~~~
  138 |                 _n_threads,
      |                 ~~~~~~~~~~~
  139 |                 buff,
      |                 ~~~~~
  140 |                 XTXv_m
      |                 ~~~~~~
  141 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:103:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:135:18:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |             dgemv(
      |             ~~~~~^
  136 |                 _X,
      |                 ~~~
  137 |                 Xv_m,
      |                 ~~~~~
  138 |                 _n_threads,
      |                 ~~~~~~~~~~~
  139 |                 buff,
      |                 ~~~~~
  140 |                 XTXv_m
      |                 ~~~~~~
  141 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:103:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:135:18:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |             dgemv(
      |             ~~~~~^
  136 |                 _X,
      |                 ~~~
  137 |                 Xv_m,
      |                 ~~~~~
  138 |                 _n_threads,
      |                 ~~~~~~~~~~~
  139 |                 buff,
      |                 ~~~~~
  140 |                 XTXv_m
      |                 ~~~~~~
  141 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:103:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:135:18:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |             dgemv(
      |             ~~~~~^
  136 |                 _X,
      |                 ~~~
  137 |                 Xv_m,
      |                 ~~~~~
  138 |                 _n_threads,
      |                 ~~~~~~~~~~~
  139 |                 buff,
      |                 ~~~~~
  140 |                 XTXv_m
      |                 ~~~~~~
  141 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:103:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:135:18:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |             dgemv(
      |             ~~~~~^
  136 |                 _X,
      |                 ~~~
  137 |                 Xv_m,
      |                 ~~~~~
  138 |                 _n_threads,
      |                 ~~~~~~~~~~~
  139 |                 buff,
      |                 ~~~~~
  140 |                 XTXv_m
      |                 ~~~~~~
  141 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:103:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::DenseShape, Eigen::SparseShape, 8>]’
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_sparse.ipp:109:19:   required from ‘void adelie_core::matrix::MatrixConstraintSparse<SparseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with SparseType = Eigen::SparseMatrix<double, 1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  109 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_sparse.ipp:104:1:   required from here
   10 |     MatrixConstraintSparse<SparseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >; Functor = add_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >; Derived = Eigen::Block<Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true>]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:13:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::DenseShape, Eigen::SparseShape, 8>]’
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_sparse.ipp:109:19:   required from ‘void adelie_core::matrix::MatrixConstraintSparse<SparseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with SparseType = Eigen::SparseMatrix<double, 1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  109 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_sparse.ipp:104:1:   required from here
   10 |     MatrixConstraintSparse<SparseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:85:10:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   85 |     dgemv(
      |     ~~~~~^
   86 |         _mat,
      |         ~~~~~
   87 |         v.matrix(),
      |         ~~~~~~~~~~~
   88 |         _n_threads,
      |         ~~~~~~~~~~~
   89 |         buff,
      |         ~~~~~
   90 |         out_m
      |         ~~~~~
   91 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:76:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:85:10:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   85 |     dgemv(
      |     ~~~~~^
   86 |         _mat,
      |         ~~~~~
   87 |         v.matrix(),
      |         ~~~~~~~~~~~
   88 |         _n_threads,
      |         ~~~~~~~~~~~
   89 |         buff,
      |         ~~~~~
   90 |         out_m
      |         ~~~~~
   91 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:76:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:85:10:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   85 |     dgemv(
      |     ~~~~~^
   86 |         _mat,
      |         ~~~~~
   87 |         v.matrix(),
      |         ~~~~~~~~~~~
   88 |         _n_threads,
      |         ~~~~~~~~~~~
   89 |         buff,
      |         ~~~~~
   90 |         out_m
      |         ~~~~~
   91 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:76:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:105:10:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::tmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  105 |     dgemv(
      |     ~~~~~^
  106 |         _mat.transpose(),
      |         ~~~~~~~~~~~~~~~~~
  107 |         v.matrix(),
      |         ~~~~~~~~~~~
  108 |         _n_threads,
      |         ~~~~~~~~~~~
  109 |         buff,
      |         ~~~~~
  110 |         out_m
      |         ~~~~~
  111 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:96:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:105:10:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::tmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  105 |     dgemv(
      |     ~~~~~^
  106 |         _mat.transpose(),
      |         ~~~~~~~~~~~~~~~~~
  107 |         v.matrix(),
      |         ~~~~~~~~~~~
  108 |         _n_threads,
      |         ~~~~~~~~~~~
  109 |         buff,
      |         ~~~~~
  110 |         out_m
      |         ~~~~~
  111 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:96:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:105:10:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::tmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  105 |     dgemv(
      |     ~~~~~^
  106 |         _mat.transpose(),
      |         ~~~~~~~~~~~~~~~~~
  107 |         v.matrix(),
      |         ~~~~~~~~~~~
  108 |         _n_threads,
      |         ~~~~~~~~~~~
  109 |         buff,
      |         ~~~~~
  110 |         out_m
      |         ~~~~~
  111 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:96:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:19:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:19:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; Src = Eigen::PartialReduxExpr<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; Src = Eigen::PartialReduxExpr<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, member_sum<double, double>, 1>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:913:9:   required from ‘void adelie_core::matrix::snp_phased_ancestry_block_dot(const IOType&, int, int, const VType&, OutType&, size_t, BuffType&) [with IOType = adelie_core::io::IOSNPPhasedAncestry<std::shared_ptr<char> >; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; OutType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
  913 |     out = mbuff.rowwise().sum();
      |     ~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.ipp:118:34:   required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry<ValueType, MmapPtrType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr<char>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  118 |     snp_phased_ancestry_block_dot(
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  119 |         _io, j, q, v * weights, out, _n_threads, _buff
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  120 |     );
      |     ~                             
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.ipp:109:1:   required from here
   14 |     MatrixNaiveSNPPhasedAncestry<ValueType, MmapPtrType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:401:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  401 |         dgemv(
      |         ~~~~~^
  402 |             VW.middleCols(l, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  403 |             _mat.col(i).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  404 |             _n_threads,
      |             ~~~~~~~~~~~
  405 |             buff,
      |             ~~~~~
  406 |             _out
      |             ~~~~
  407 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:483:5:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  483 |     _bmul(j, q, v, weights, out, _vbuff, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:475:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:401:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  401 |         dgemv(
      |         ~~~~~^
  402 |             VW.middleCols(l, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  403 |             _mat.col(i).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  404 |             _n_threads,
      |             ~~~~~~~~~~~
  405 |             buff,
      |             ~~~~~
  406 |             _out
      |             ~~~~
  407 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:483:5:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  483 |     _bmul(j, q, v, weights, out, _vbuff, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:475:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:401:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  401 |         dgemv(
      |         ~~~~~^
  402 |             VW.middleCols(l, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  403 |             _mat.col(i).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  404 |             _n_threads,
      |             ~~~~~~~~~~~
  405 |             buff,
      |             ~~~~~
  406 |             _out
      |             ~~~~
  407 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:483:5:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  483 |     _bmul(j, q, v, weights, out, _vbuff, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:475:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:401:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  401 |         dgemv(
      |         ~~~~~^
  402 |             VW.middleCols(l, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  403 |             _mat.col(i).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  404 |             _n_threads,
      |             ~~~~~~~~~~~
  405 |             buff,
      |             ~~~~~
  406 |             _out
      |             ~~~~
  407 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:483:5:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  483 |     _bmul(j, q, v, weights, out, _vbuff, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:475:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:401:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  401 |         dgemv(
      |         ~~~~~^
  402 |             VW.middleCols(l, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  403 |             _mat.col(i).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  404 |             _n_threads,
      |             ~~~~~~~~~~~
  405 |             buff,
      |             ~~~~~
  406 |             _out
      |             ~~~~
  407 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:483:5:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  483 |     _bmul(j, q, v, weights, out, _vbuff, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:475:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, false> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, false>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; Src = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, member_sum<double, double>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:262:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  262 |             out = buff.block(0, 0, n_blocks, p).colwise().sum();
      |             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:401:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  401 |         dgemv(
      |         ~~~~~^
  402 |             VW.middleCols(l, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  403 |             _mat.col(i).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  404 |             _n_threads,
      |             ~~~~~~~~~~~
  405 |             buff,
      |             ~~~~~
  406 |             _out
      |             ~~~~
  407 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:483:5:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  483 |     _bmul(j, q, v, weights, out, _vbuff, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:475:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:219:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  219 |             out += v * m;
      |             ~~~~^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:116:37:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  116 |     dgemv<util::operator_type::_add>(
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  117 |         _mat.middleCols(j, q).transpose(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  118 |         v.matrix(),
      |         ~~~~~~~~~~~                  
  119 |         _n_threads,
      |         ~~~~~~~~~~~                  
  120 |         _buff,
      |         ~~~~~~                       
  121 |         outm
      |         ~~~~                         
  122 |     );
      |     ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:108:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:219:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  219 |             out += v * m;
      |             ~~~~^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:116:37:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  116 |     dgemv<util::operator_type::_add>(
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  117 |         _mat.middleCols(j, q).transpose(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  118 |         v.matrix(),
      |         ~~~~~~~~~~~                  
  119 |         _n_threads,
      |         ~~~~~~~~~~~                  
  120 |         _buff,
      |         ~~~~~~                       
  121 |         outm
      |         ~~~~                         
  122 |     );
      |     ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:108:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:241:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  241 |                 out.segment(begin, size) += v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:116:37:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  116 |     dgemv<util::operator_type::_add>(
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  117 |         _mat.middleCols(j, q).transpose(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  118 |         v.matrix(),
      |         ~~~~~~~~~~~                  
  119 |         _n_threads,
      |         ~~~~~~~~~~~                  
  120 |         _buff,
      |         ~~~~~~                       
  121 |         outm
      |         ~~~~                         
  122 |     );
      |     ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:108:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:80:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   80 |         dgemv(
      |         ~~~~~^
   81 |             _mat.middleCols(k_d, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~
   82 |             (1-2*k_sgn) * _mask.col(k_m).transpose().template cast<value_t>().cwiseProduct((v * weights).matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   83 |             _n_threads,
      |             ~~~~~~~~~~~
   84 |             buff,
      |             ~~~~~
   85 |             out_m
      |             ~~~~~
   86 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:159:5:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  159 |     _bmul(j, q, v, weights, out, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:151:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:80:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   80 |         dgemv(
      |         ~~~~~^
   81 |             _mat.middleCols(k_d, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~
   82 |             (1-2*k_sgn) * _mask.col(k_m).transpose().template cast<value_t>().cwiseProduct((v * weights).matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   83 |             _n_threads,
      |             ~~~~~~~~~~~
   84 |             buff,
      |             ~~~~~
   85 |             out_m
      |             ~~~~~
   86 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:159:5:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  159 |     _bmul(j, q, v, weights, out, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:151:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:80:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   80 |         dgemv(
      |         ~~~~~^
   81 |             _mat.middleCols(k_d, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~
   82 |             (1-2*k_sgn) * _mask.col(k_m).transpose().template cast<value_t>().cwiseProduct((v * weights).matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   83 |             _n_threads,
      |             ~~~~~~~~~~~
   84 |             buff,
      |             ~~~~~
   85 |             out_m
      |             ~~~~~
   86 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:159:5:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  159 |     _bmul(j, q, v, weights, out, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:151:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:80:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   80 |         dgemv(
      |         ~~~~~^
   81 |             _mat.middleCols(k_d, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~
   82 |             (1-2*k_sgn) * _mask.col(k_m).transpose().template cast<value_t>().cwiseProduct((v * weights).matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   83 |             _n_threads,
      |             ~~~~~~~~~~~
   84 |             buff,
      |             ~~~~~
   85 |             out_m
      |             ~~~~~
   86 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:159:5:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  159 |     _bmul(j, q, v, weights, out, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:151:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:80:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   80 |         dgemv(
      |         ~~~~~^
   81 |             _mat.middleCols(k_d, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~
   82 |             (1-2*k_sgn) * _mask.col(k_m).transpose().template cast<value_t>().cwiseProduct((v * weights).matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   83 |             _n_threads,
      |             ~~~~~~~~~~~
   84 |             buff,
      |             ~~~~~
   85 |             out_m
      |             ~~~~~
   86 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:159:5:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  159 |     _bmul(j, q, v, weights, out, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:151:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:231:14:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:25, const auto:26&)> [with auto:25 = long int; auto:26 = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >]’
  231 |         dgemv(
      |         ~~~~~^
  232 |             _mat,
      |             ~~~~~
  233 |             _mask.col(i).transpose().template cast<value_t>().cwiseProduct(v_weights),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |             1,
      |             ~~
  235 |             buff /* unused */,
      |             ~~~~~~~~~~~~~~~~~~
  236 |             out_m
      |             ~~~~~
  237 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:240:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:27)> [with auto:27 = long int]’
  240 |     util::omp_parallel_for([&](auto i) { routine(i, v_weights); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:27)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:240:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  240 |     util::omp_parallel_for([&](auto i) { routine(i, v_weights); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:218:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:231:14:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:25, const auto:26&)> [with auto:25 = long int; auto:26 = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >]’
  231 |         dgemv(
      |         ~~~~~^
  232 |             _mat,
      |             ~~~~~
  233 |             _mask.col(i).transpose().template cast<value_t>().cwiseProduct(v_weights),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |             1,
      |             ~~
  235 |             buff /* unused */,
      |             ~~~~~~~~~~~~~~~~~~
  236 |             out_m
      |             ~~~~~
  237 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:240:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:27)> [with auto:27 = long int]’
  240 |     util::omp_parallel_for([&](auto i) { routine(i, v_weights); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:27)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:240:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  240 |     util::omp_parallel_for([&](auto i) { routine(i, v_weights); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:218:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:231:14:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:25, const auto:26&)> [with auto:25 = long int; auto:26 = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >]’
  231 |         dgemv(
      |         ~~~~~^
  232 |             _mat,
      |             ~~~~~
  233 |             _mask.col(i).transpose().template cast<value_t>().cwiseProduct(v_weights),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |             1,
      |             ~~
  235 |             buff /* unused */,
      |             ~~~~~~~~~~~~~~~~~~
  236 |             out_m
      |             ~~~~~
  237 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:240:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:27)> [with auto:27 = long int]’
  240 |     util::omp_parallel_for([&](auto i) { routine(i, v_weights); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:27)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:240:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  240 |     util::omp_parallel_for([&](auto i) { routine(i, v_weights); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:218:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:231:14:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:25, const auto:26&)> [with auto:25 = long int; auto:26 = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >]’
  231 |         dgemv(
      |         ~~~~~^
  232 |             _mat,
      |             ~~~~~
  233 |             _mask.col(i).transpose().template cast<value_t>().cwiseProduct(v_weights),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |             1,
      |             ~~
  235 |             buff /* unused */,
      |             ~~~~~~~~~~~~~~~~~~
  236 |             out_m
      |             ~~~~~
  237 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:240:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:27)> [with auto:27 = long int]’
  240 |     util::omp_parallel_for([&](auto i) { routine(i, v_weights); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:27)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:240:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  240 |     util::omp_parallel_for([&](auto i) { routine(i, v_weights); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:218:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:231:14:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:25, const auto:26&)> [with auto:25 = long int; auto:26 = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >]’
  231 |         dgemv(
      |         ~~~~~^
  232 |             _mat,
      |             ~~~~~
  233 |             _mask.col(i).transpose().template cast<value_t>().cwiseProduct(v_weights),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |             1,
      |             ~~
  235 |             buff /* unused */,
      |             ~~~~~~~~~~~~~~~~~~
  236 |             out_m
      |             ~~~~~
  237 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:240:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:27)> [with auto:27 = long int]’
  240 |     util::omp_parallel_for([&](auto i) { routine(i, v_weights); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:27)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:240:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  240 |     util::omp_parallel_for([&](auto i) { routine(i, v_weights); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:218:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Matrix<double, -1, -1>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:316:14:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:28, const auto:29&)> [with auto:28 = long int; auto:29 = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >]’
  316 |         dgemv(
      |         ~~~~~^
  317 |             mat_sq,
      |             ~~~~~~~
  318 |             _mask.col(i).transpose().template cast<value_t>().cwiseProduct(w.matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  319 |             1,
      |             ~~
  320 |             buff /* unused */,
      |             ~~~~~~~~~~~~~~~~~~
  321 |             out_m
      |             ~~~~~
  322 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)> [with auto:30 = long int]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:303:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Matrix<double, -1, -1>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:316:14:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:28, const auto:29&)> [with auto:28 = long int; auto:29 = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >]’
  316 |         dgemv(
      |         ~~~~~^
  317 |             mat_sq,
      |             ~~~~~~~
  318 |             _mask.col(i).transpose().template cast<value_t>().cwiseProduct(w.matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  319 |             1,
      |             ~~
  320 |             buff /* unused */,
      |             ~~~~~~~~~~~~~~~~~~
  321 |             out_m
      |             ~~~~~
  322 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)> [with auto:30 = long int]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:303:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Matrix<double, -1, -1>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:316:14:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:28, const auto:29&)> [with auto:28 = long int; auto:29 = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >]’
  316 |         dgemv(
      |         ~~~~~^
  317 |             mat_sq,
      |             ~~~~~~~
  318 |             _mask.col(i).transpose().template cast<value_t>().cwiseProduct(w.matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  319 |             1,
      |             ~~
  320 |             buff /* unused */,
      |             ~~~~~~~~~~~~~~~~~~
  321 |             out_m
      |             ~~~~~
  322 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)> [with auto:30 = long int]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:303:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Matrix<double, -1, -1>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:316:14:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:28, const auto:29&)> [with auto:28 = long int; auto:29 = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >]’
  316 |         dgemv(
      |         ~~~~~^
  317 |             mat_sq,
      |             ~~~~~~~
  318 |             _mask.col(i).transpose().template cast<value_t>().cwiseProduct(w.matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  319 |             1,
      |             ~~
  320 |             buff /* unused */,
      |             ~~~~~~~~~~~~~~~~~~
  321 |             out_m
      |             ~~~~~
  322 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)> [with auto:30 = long int]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:303:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Matrix<double, -1, -1>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:316:14:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:28, const auto:29&)> [with auto:28 = long int; auto:29 = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >]’
  316 |         dgemv(
      |         ~~~~~^
  317 |             mat_sq,
      |             ~~~~~~~
  318 |             _mask.col(i).transpose().template cast<value_t>().cwiseProduct(w.matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  319 |             1,
      |             ~~
  320 |             buff /* unused */,
      |             ~~~~~~~~~~~~~~~~~~
  321 |             out_m
      |             ~~~~~
  322 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)> [with auto:30 = long int]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:303:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_gated_relu.ipp:73:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexGatedReluDense<DenseType, MaskType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |         dgemv(
      |         ~~~~~^
   74 |             _mat.middleCols(k_d, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~
   75 |             _mask.col(k_m).transpose().template cast<value_t>().cwiseProduct((v * weights).matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   76 |             _n_threads,
      |             ~~~~~~~~~~~
   77 |             buff,
      |             ~~~~~
   78 |             out_m
      |             ~~~~~
   79 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_gated_relu.ipp:152:5:   required from ‘void adelie_core::matrix::MatrixNaiveConvexGatedReluDense<DenseType, MaskType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  152 |     _bmul(j, q, v, weights, out, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_gated_relu.ipp:144:1:   required from here
   10 |     MatrixNaiveConvexGatedReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_gated_relu.ipp:73:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexGatedReluDense<DenseType, MaskType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |         dgemv(
      |         ~~~~~^
   74 |             _mat.middleCols(k_d, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~
   75 |             _mask.col(k_m).transpose().template cast<value_t>().cwiseProduct((v * weights).matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   76 |             _n_threads,
      |             ~~~~~~~~~~~
   77 |             buff,
      |             ~~~~~
   78 |             out_m
      |             ~~~~~
   79 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_gated_relu.ipp:152:5:   required from ‘void adelie_core::matrix::MatrixNaiveConvexGatedReluDense<DenseType, MaskType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  152 |     _bmul(j, q, v, weights, out, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_gated_relu.ipp:144:1:   required from here
   10 |     MatrixNaiveConvexGatedReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 1; Eigen::Index = long int]’
  654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
      |                                                    ~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>]’
  441 |       lazyproduct::eval_dynamic(dst, lhs, rhs, internal::assign_op<typename Dst::Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:171:29:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  171 |             out_m.noalias() = X_block.transpose() * Xk;
      |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:156:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:29:18:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::rmmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   29 |     out.matrix() = _mat.row(j) * Q;
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:23:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:19:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:19:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:73:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |     dgemv(
      |     ~~~~~^
   74 |         _mat.middleCols(j, q),
      |         ~~~~~~~~~~~~~~~~~~~~~~
   75 |         _vbuff.matrix(),
      |         ~~~~~~~~~~~~~~~~
   76 |         _n_threads,
      |         ~~~~~~~~~~~
   77 |         _buff,
      |         ~~~~~~
   78 |         outm
      |         ~~~~
   79 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:63:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:73:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |     dgemv(
      |     ~~~~~^
   74 |         _mat.middleCols(j, q),
      |         ~~~~~~~~~~~~~~~~~~~~~~
   75 |         _vbuff.matrix(),
      |         ~~~~~~~~~~~~~~~~
   76 |         _n_threads,
      |         ~~~~~~~~~~~
   77 |         _buff,
      |         ~~~~~~
   78 |         outm
      |         ~~~~
   79 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:63:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:73:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |     dgemv(
      |     ~~~~~^
   74 |         _mat.middleCols(j, q),
      |         ~~~~~~~~~~~~~~~~~~~~~~
   75 |         _vbuff.matrix(),
      |         ~~~~~~~~~~~~~~~~
   76 |         _n_threads,
      |         ~~~~~~~~~~~
   77 |         _buff,
      |         ~~~~~~
   78 |         outm
      |         ~~~~
   79 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:63:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:73:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |     dgemv(
      |     ~~~~~^
   74 |         _mat.middleCols(j, q),
      |         ~~~~~~~~~~~~~~~~~~~~~~
   75 |         _vbuff.matrix(),
      |         ~~~~~~~~~~~~~~~~
   76 |         _n_threads,
      |         ~~~~~~~~~~~
   77 |         _buff,
      |         ~~~~~~
   78 |         outm
      |         ~~~~
   79 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:63:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:116:37:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  116 |     dgemv<util::operator_type::_add>(
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  117 |         _mat.middleCols(j, q).transpose(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  118 |         v.matrix(),
      |         ~~~~~~~~~~~                  
  119 |         _n_threads,
      |         ~~~~~~~~~~~                  
  120 |         _buff,
      |         ~~~~~~                       
  121 |         outm
      |         ~~~~                         
  122 |     );
      |     ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:108:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:116:37:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  116 |     dgemv<util::operator_type::_add>(
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  117 |         _mat.middleCols(j, q).transpose(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  118 |         v.matrix(),
      |         ~~~~~~~~~~~                  
  119 |         _n_threads,
      |         ~~~~~~~~~~~                  
  120 |         _buff,
      |         ~~~~~~                       
  121 |         outm
      |         ~~~~                         
  122 |     );
      |     ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:108:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:139:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  139 |     dgemv(
      |     ~~~~~^
  140 |         _mat,
      |         ~~~~~
  141 |         vbuff.matrix(),
      |         ~~~~~~~~~~~~~~~
  142 |         _n_threads,
      |         ~~~~~~~~~~~
  143 |         buff,
      |         ~~~~~
  144 |         out_m
      |         ~~~~~
  145 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:127:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:210:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  210 |     dgemv(
      |     ~~~~~^
  211 |         _mat.array().square().matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  212 |         weights.matrix(),
      |         ~~~~~~~~~~~~~~~~~
  213 |         _n_threads,
      |         ~~~~~~~~~~~
  214 |         buff,
      |         ~~~~~
  215 |         out_m
      |         ~~~~~
  216 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:201:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:210:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  210 |     dgemv(
      |     ~~~~~^
  211 |         _mat.array().square().matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  212 |         weights.matrix(),
      |         ~~~~~~~~~~~~~~~~~
  213 |         _n_threads,
      |         ~~~~~~~~~~~
  214 |         buff,
      |         ~~~~~
  215 |         out_m
      |         ~~~~~
  216 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:201:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true> >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true> >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true> >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true> >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:210:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  210 |     dgemv(
      |     ~~~~~^
  211 |         _mat.array().square().matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  212 |         weights.matrix(),
      |         ~~~~~~~~~~~~~~~~~
  213 |         _n_threads,
      |         ~~~~~~~~~~~
  214 |         buff,
      |         ~~~~~
  215 |         out_m
      |         ~~~~~
  216 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:201:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:210:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  210 |     dgemv(
      |     ~~~~~^
  211 |         _mat.array().square().matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  212 |         weights.matrix(),
      |         ~~~~~~~~~~~~~~~~~
  213 |         _n_threads,
      |         ~~~~~~~~~~~
  214 |         buff,
      |         ~~~~~
  215 |         out_m
      |         ~~~~~
  216 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:201:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false> >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false> >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> > > > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false> >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> > > > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false> >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:210:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  210 |     dgemv(
      |     ~~~~~^
  211 |         _mat.array().square().matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  212 |         weights.matrix(),
      |         ~~~~~~~~~~~~~~~~~
  213 |         _n_threads,
      |         ~~~~~~~~~~~
  214 |         buff,
      |         ~~~~~
  215 |         out_m
      |         ~~~~~
  216 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:201:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:200:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  200 |         dgemv(
      |         ~~~~~^
  201 |             _mat.middleCols(k_d, size).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  202 |             v.segment(n_processed, size).matrix(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  203 |             _n_threads,
      |             ~~~~~~~~~~~
  204 |             buff,
      |             ~~~~~
  205 |             Xv_m
      |             ~~~~
  206 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:178:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:200:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  200 |         dgemv(
      |         ~~~~~^
  201 |             _mat.middleCols(k_d, size).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  202 |             v.segment(n_processed, size).matrix(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  203 |             _n_threads,
      |             ~~~~~~~~~~~
  204 |             buff,
      |             ~~~~~
  205 |             Xv_m
      |             ~~~~
  206 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:178:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1, 1, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 1; Eigen::Index = long int]’
  654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
      |                                                    ~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:28:23:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   28 |         cov.noalias() = block.transpose() * _X;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:83:13:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   83 |             cache(i, cache_size);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:68:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 1; Eigen::Index = long int]’
  654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
      |                                                    ~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:43:47:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   43 |         cov.middleRows(begin, size).noalias() = (
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   44 |             block.transpose().middleRows(begin, size) * _X
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   45 |         );
      |         ~                                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:83:13:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   83 |             cache(i, cache_size);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:68:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:135:18:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |             dgemv(
      |             ~~~~~^
  136 |                 _X,
      |                 ~~~
  137 |                 Xv_m,
      |                 ~~~~~
  138 |                 _n_threads,
      |                 ~~~~~~~~~~~
  139 |                 buff,
      |                 ~~~~~
  140 |                 XTXv_m
      |                 ~~~~~~
  141 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:103:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:135:18:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |             dgemv(
      |             ~~~~~^
  136 |                 _X,
      |                 ~~~
  137 |                 Xv_m,
      |                 ~~~~~
  138 |                 _n_threads,
      |                 ~~~~~~~~~~~
  139 |                 buff,
      |                 ~~~~~
  140 |                 XTXv_m
      |                 ~~~~~~
  141 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:103:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:85:10:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   85 |     dgemv(
      |     ~~~~~^
   86 |         _mat,
      |         ~~~~~
   87 |         v.matrix(),
      |         ~~~~~~~~~~~
   88 |         _n_threads,
      |         ~~~~~~~~~~~
   89 |         buff,
      |         ~~~~~
   90 |         out_m
      |         ~~~~~
   91 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:76:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:85:10:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   85 |     dgemv(
      |     ~~~~~^
   86 |         _mat,
      |         ~~~~~
   87 |         v.matrix(),
      |         ~~~~~~~~~~~
   88 |         _n_threads,
      |         ~~~~~~~~~~~
   89 |         buff,
      |         ~~~~~
   90 |         out_m
      |         ~~~~~
   91 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:76:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:105:10:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::tmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  105 |     dgemv(
      |     ~~~~~^
  106 |         _mat.transpose(),
      |         ~~~~~~~~~~~~~~~~~
  107 |         v.matrix(),
      |         ~~~~~~~~~~~
  108 |         _n_threads,
      |         ~~~~~~~~~~~
  109 |         buff,
      |         ~~~~~
  110 |         out_m
      |         ~~~~~
  111 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:96:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:105:10:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::tmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  105 |     dgemv(
      |     ~~~~~^
  106 |         _mat.transpose(),
      |         ~~~~~~~~~~~~~~~~~
  107 |         v.matrix(),
      |         ~~~~~~~~~~~
  108 |         _n_threads,
      |         ~~~~~~~~~~~
  109 |         buff,
      |         ~~~~~
  110 |         out_m
      |         ~~~~~
  111 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:96:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:401:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  401 |         dgemv(
      |         ~~~~~^
  402 |             VW.middleCols(l, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  403 |             _mat.col(i).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  404 |             _n_threads,
      |             ~~~~~~~~~~~
  405 |             buff,
      |             ~~~~~
  406 |             _out
      |             ~~~~
  407 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:483:5:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  483 |     _bmul(j, q, v, weights, out, _vbuff, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:475:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:401:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  401 |         dgemv(
      |         ~~~~~^
  402 |             VW.middleCols(l, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  403 |             _mat.col(i).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  404 |             _n_threads,
      |             ~~~~~~~~~~~
  405 |             buff,
      |             ~~~~~
  406 |             _out
      |             ~~~~
  407 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:483:5:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  483 |     _bmul(j, q, v, weights, out, _vbuff, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:475:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:401:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  401 |         dgemv(
      |         ~~~~~^
  402 |             VW.middleCols(l, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  403 |             _mat.col(i).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  404 |             _n_threads,
      |             ~~~~~~~~~~~
  405 |             buff,
      |             ~~~~~
  406 |             _out
      |             ~~~~
  407 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:483:5:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  483 |     _bmul(j, q, v, weights, out, _vbuff, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:475:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:401:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  401 |         dgemv(
      |         ~~~~~^
  402 |             VW.middleCols(l, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  403 |             _mat.col(i).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~
  404 |             _n_threads,
      |             ~~~~~~~~~~~
  405 |             buff,
      |             ~~~~~
  406 |             _out
      |             ~~~~
  407 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:483:5:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  483 |     _bmul(j, q, v, weights, out, _vbuff, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:475:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:80:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   80 |         dgemv(
      |         ~~~~~^
   81 |             _mat.middleCols(k_d, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~
   82 |             (1-2*k_sgn) * _mask.col(k_m).transpose().template cast<value_t>().cwiseProduct((v * weights).matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   83 |             _n_threads,
      |             ~~~~~~~~~~~
   84 |             buff,
      |             ~~~~~
   85 |             out_m
      |             ~~~~~
   86 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:159:5:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  159 |     _bmul(j, q, v, weights, out, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:151:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:80:14:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::_bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   80 |         dgemv(
      |         ~~~~~^
   81 |             _mat.middleCols(k_d, size),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~
   82 |             (1-2*k_sgn) * _mask.col(k_m).transpose().template cast<value_t>().cwiseProduct((v * weights).matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   83 |             _n_threads,
      |             ~~~~~~~~~~~
   84 |             buff,
      |             ~~~~~
   85 |             out_m
      |             ~~~~~
   86 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:159:5:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  159 |     _bmul(j, q, v, weights, out, _buff);
      |     ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:151:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:231:14:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:25, const auto:26&)> [with auto:25 = long int; auto:26 = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >]’
  231 |         dgemv(
      |         ~~~~~^
  232 |             _mat,
      |             ~~~~~
  233 |             _mask.col(i).transpose().template cast<value_t>().cwiseProduct(v_weights),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |             1,
      |             ~~
  235 |             buff /* unused */,
      |             ~~~~~~~~~~~~~~~~~~
  236 |             out_m
      |             ~~~~~
  237 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:240:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:27)> [with auto:27 = long int]’
  240 |     util::omp_parallel_for([&](auto i) { routine(i, v_weights); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:27)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:240:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  240 |     util::omp_parallel_for([&](auto i) { routine(i, v_weights); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:218:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:231:14:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:25, const auto:26&)> [with auto:25 = long int; auto:26 = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >]’
  231 |         dgemv(
      |         ~~~~~^
  232 |             _mat,
      |             ~~~~~
  233 |             _mask.col(i).transpose().template cast<value_t>().cwiseProduct(v_weights),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |             1,
      |             ~~
  235 |             buff /* unused */,
      |             ~~~~~~~~~~~~~~~~~~
  236 |             out_m
      |             ~~~~~
  237 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:240:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:27)> [with auto:27 = long int]’
  240 |     util::omp_parallel_for([&](auto i) { routine(i, v_weights); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:27)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:240:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  240 |     util::omp_parallel_for([&](auto i) { routine(i, v_weights); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:218:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Matrix<double, -1, -1>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:316:14:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:28, const auto:29&)> [with auto:28 = long int; auto:29 = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >]’
  316 |         dgemv(
      |         ~~~~~^
  317 |             mat_sq,
      |             ~~~~~~~
  318 |             _mask.col(i).transpose().template cast<value_t>().cwiseProduct(w.matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  319 |             1,
      |             ~~
  320 |             buff /* unused */,
      |             ~~~~~~~~~~~~~~~~~~
  321 |             out_m
      |             ~~~~~
  322 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)> [with auto:30 = long int]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:303:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Matrix<double, -1, -1>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:316:14:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:28, const auto:29&)> [with auto:28 = long int; auto:29 = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >]’
  316 |         dgemv(
      |         ~~~~~^
  317 |             mat_sq,
      |             ~~~~~~~
  318 |             _mask.col(i).transpose().template cast<value_t>().cwiseProduct(w.matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  319 |             1,
      |             ~~
  320 |             buff /* unused */,
      |             ~~~~~~~~~~~~~~~~~~
  321 |             out_m
      |             ~~~~~
  322 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)> [with auto:30 = long int]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:303:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Matrix<double, -1, -1>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:316:14:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:28, const auto:29&)> [with auto:28 = long int; auto:29 = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >]’
  316 |         dgemv(
      |         ~~~~~^
  317 |             mat_sq,
      |             ~~~~~~~
  318 |             _mask.col(i).transpose().template cast<value_t>().cwiseProduct(w.matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  319 |             1,
      |             ~~
  320 |             buff /* unused */,
      |             ~~~~~~~~~~~~~~~~~~
  321 |             out_m
      |             ~~~~~
  322 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)> [with auto:30 = long int]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:303:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Matrix<double, -1, -1>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:316:14:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:28, const auto:29&)> [with auto:28 = long int; auto:29 = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >]’
  316 |         dgemv(
      |         ~~~~~^
  317 |             mat_sq,
      |             ~~~~~~~
  318 |             _mask.col(i).transpose().template cast<value_t>().cwiseProduct(w.matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  319 |             1,
      |             ~~
  320 |             buff /* unused */,
      |             ~~~~~~~~~~~~~~~~~~
  321 |             out_m
      |             ~~~~~
  322 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)> [with auto:30 = long int]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:303:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Matrix<double, -1, -1>; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<int, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:316:14:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:28, const auto:29&)> [with auto:28 = long int; auto:29 = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >]’
  316 |         dgemv(
      |         ~~~~~^
  317 |             mat_sq,
      |             ~~~~~~~
  318 |             _mask.col(i).transpose().template cast<value_t>().cwiseProduct(w.matrix()),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  319 |             1,
      |             ~~
  320 |             buff /* unused */,
      |             ~~~~~~~~~~~~~~~~~~
  321 |             out_m
      |             ~~~~~
  322 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:49:   required from ‘adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)> [with auto:30 = long int]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |                                          ~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveConvexReluDense<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<int, -1, -1>, int>::sq_mul(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >) const::<lambda(auto:30)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:324:27:   required from ‘void adelie_core::matrix::MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; MaskType = Eigen::Matrix<int, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  324 |     util::omp_parallel_for([&](auto i) { routine(i, weights); }, 0, m, _n_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_convex_relu.ipp:303:1:   required from here
   10 |     MatrixNaiveConvexReluDense<DenseType, MaskType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:29:18:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::rmmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   29 |     out.matrix() = _mat.row(j) * Q;
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:23:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:19:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:73:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |     dgemv(
      |     ~~~~~^
   74 |         _mat.middleCols(j, q),
      |         ~~~~~~~~~~~~~~~~~~~~~~
   75 |         _vbuff.matrix(),
      |         ~~~~~~~~~~~~~~~~
   76 |         _n_threads,
      |         ~~~~~~~~~~~
   77 |         _buff,
      |         ~~~~~~
   78 |         outm
      |         ~~~~
   79 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:63:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:73:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |     dgemv(
      |     ~~~~~^
   74 |         _mat.middleCols(j, q),
      |         ~~~~~~~~~~~~~~~~~~~~~~
   75 |         _vbuff.matrix(),
      |         ~~~~~~~~~~~~~~~~
   76 |         _n_threads,
      |         ~~~~~~~~~~~
   77 |         _buff,
      |         ~~~~~~
   78 |         outm
      |         ~~~~
   79 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:63:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:73:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |     dgemv(
      |     ~~~~~^
   74 |         _mat.middleCols(j, q),
      |         ~~~~~~~~~~~~~~~~~~~~~~
   75 |         _vbuff.matrix(),
      |         ~~~~~~~~~~~~~~~~
   76 |         _n_threads,
      |         ~~~~~~~~~~~
   77 |         _buff,
      |         ~~~~~~
   78 |         outm
      |         ~~~~
   79 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:63:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:139:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  139 |     dgemv(
      |     ~~~~~^
  140 |         _mat,
      |         ~~~~~
  141 |         vbuff.matrix(),
      |         ~~~~~~~~~~~~~~~
  142 |         _n_threads,
      |         ~~~~~~~~~~~
  143 |         buff,
      |         ~~~~~
  144 |         out_m
      |         ~~~~~
  145 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:127:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:139:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  139 |     dgemv(
      |     ~~~~~^
  140 |         _mat,
      |         ~~~~~
  141 |         vbuff.matrix(),
      |         ~~~~~~~~~~~~~~~
  142 |         _n_threads,
      |         ~~~~~~~~~~~
  143 |         buff,
      |         ~~~~~
  144 |         out_m
      |         ~~~~~
  145 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:127:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:210:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  210 |     dgemv(
      |     ~~~~~^
  211 |         _mat.array().square().matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  212 |         weights.matrix(),
      |         ~~~~~~~~~~~~~~~~~
  213 |         _n_threads,
      |         ~~~~~~~~~~~
  214 |         buff,
      |         ~~~~~
  215 |         out_m
      |         ~~~~~
  216 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:201:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:88:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >; Rhs = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Dest = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; typename Dest::Scalar = double]’
  379 |       dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum();
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12:   required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Rhs = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]’
  206 |     gemv_dense_selector<OnTheRight,OtherStorageOrder,BlasCompatible>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:210:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  210 |     dgemv(
      |     ~~~~~^
  211 |         _mat.array().square().matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  212 |         weights.matrix(),
      |         ~~~~~~~~~~~~~~~~~
  213 |         _n_threads,
      |         ~~~~~~~~~~~
  214 |         buff,
      |         ~~~~~
  215 |         out_m
      |         ~~~~~
  216 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:201:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:210:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  210 |     dgemv(
      |     ~~~~~^
  211 |         _mat.array().square().matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  212 |         weights.matrix(),
      |         ~~~~~~~~~~~~~~~~~
  213 |         _n_threads,
      |         ~~~~~~~~~~~
  214 |         buff,
      |         ~~~~~
  215 |         out_m
      |         ~~~~~
  216 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:201:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true> >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true> >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true> >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true> >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true> >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:88:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true> >; Rhs = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Dest = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; typename Dest::Scalar = double]’
  379 |       dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum();
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12:   required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Rhs = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]’
  206 |     gemv_dense_selector<OnTheRight,OtherStorageOrder,BlasCompatible>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:210:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  210 |     dgemv(
      |     ~~~~~^
  211 |         _mat.array().square().matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  212 |         weights.matrix(),
      |         ~~~~~~~~~~~~~~~~~
  213 |         _n_threads,
      |         ~~~~~~~~~~~
  214 |         buff,
      |         ~~~~~
  215 |         out_m
      |         ~~~~~
  216 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:201:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:210:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  210 |     dgemv(
      |     ~~~~~^
  211 |         _mat.array().square().matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  212 |         weights.matrix(),
      |         ~~~~~~~~~~~~~~~~~
  213 |         _n_threads,
      |         ~~~~~~~~~~~
  214 |         buff,
      |         ~~~~~
  215 |         out_m
      |         ~~~~~
  216 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:201:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false> >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false> >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false> >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false> >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false> >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:88:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >; Dest = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; typename Dest::Scalar = double]’
  379 |       dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum();
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12:   required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Rhs = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]’
  206 |     gemv_dense_selector<OnTheRight,OtherStorageOrder,BlasCompatible>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:210:10:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::sq_mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  210 |     dgemv(
      |     ~~~~~^
  211 |         _mat.array().square().matrix(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  212 |         weights.matrix(),
      |         ~~~~~~~~~~~~~~~~~
  213 |         _n_threads,
      |         ~~~~~~~~~~~
  214 |         buff,
      |         ~~~~~
  215 |         out_m
      |         ~~~~~
  216 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.ipp:201:1:   required from here
   10 |     MatrixNaiveDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:135:18:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |             dgemv(
      |             ~~~~~^
  136 |                 _X,
      |                 ~~~
  137 |                 Xv_m,
      |                 ~~~~~
  138 |                 _n_threads,
      |                 ~~~~~~~~~~~
  139 |                 buff,
      |                 ~~~~~
  140 |                 XTXv_m
      |                 ~~~~~~
  141 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:103:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:135:18:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |             dgemv(
      |             ~~~~~^
  136 |                 _X,
      |                 ~~~
  137 |                 Xv_m,
      |                 ~~~~~
  138 |                 _n_threads,
      |                 ~~~~~~~~~~~
  139 |                 buff,
      |                 ~~~~~
  140 |                 XTXv_m
      |                 ~~~~~~
  141 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:103:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:135:18:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |             dgemv(
      |             ~~~~~^
  136 |                 _X,
      |                 ~~~
  137 |                 Xv_m,
      |                 ~~~~~
  138 |                 _n_threads,
      |                 ~~~~~~~~~~~
  139 |                 buff,
      |                 ~~~~~
  140 |                 XTXv_m
      |                 ~~~~~~
  141 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.ipp:103:1:   required from here
   10 |     MatrixCovLazyCov<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:217:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  217 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:105:10:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::tmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  105 |     dgemv(
      |     ~~~~~^
  106 |         _mat.transpose(),
      |         ~~~~~~~~~~~~~~~~~
  107 |         v.matrix(),
      |         ~~~~~~~~~~~
  108 |         _n_threads,
      |         ~~~~~~~~~~~
  109 |         buff,
      |         ~~~~~
  110 |         out_m
      |         ~~~~~
  111 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:96:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:239:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  239 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:105:10:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::tmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  105 |     dgemv(
      |     ~~~~~^
  106 |         _mat.transpose(),
      |         ~~~~~~~~~~~~~~~~~
  107 |         v.matrix(),
      |         ~~~~~~~~~~~
  108 |         _n_threads,
      |         ~~~~~~~~~~~
  109 |         buff,
      |         ~~~~~
  110 |         out_m
      |         ~~~~~
  111 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:96:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:257:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  257 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  258 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  259 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:105:10:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::tmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  105 |     dgemv(
      |     ~~~~~^
  106 |         _mat.transpose(),
      |         ~~~~~~~~~~~~~~~~~
  107 |         v.matrix(),
      |         ~~~~~~~~~~~
  108 |         _n_threads,
      |         ~~~~~~~~~~~
  109 |         buff,
      |         ~~~~~
  110 |         out_m
      |         ~~~~~
  111 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:96:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:19:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:19:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >; Functor = add_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:13:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>; Src = Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:696:19:   required from ‘adelie_core::matrix::MatrixNaiveKroneckerEyeDense<Eigen::Matrix<double, -1, -1>, int>::sp_tmul(const adelie_core::matrix::MatrixNaiveBase<double, int>::sp_mat_value_t&, Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >) const::<lambda(auto:40)> [with auto:40 = long int]’
  696 |             out_k = vk * _mat.transpose();
      |             ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::matrix::MatrixNaiveKroneckerEyeDense<Eigen::Matrix<double, -1, -1>, int>::sp_tmul(const adelie_core::matrix::MatrixNaiveBase<double, int>::sp_mat_value_t&, Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >) const::<lambda(auto:40)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:699:31:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::sp_tmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  699 |         util::omp_parallel_for(sroutine, 0, _v.outerSize(), _n_threads);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.ipp:627:1:   required from here
   19 |     MatrixNaiveKroneckerEyeDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 1; Eigen::Index = long int]’
  654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
      |                                                    ~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:122:19:   required from ‘void adelie_core::matrix::MatrixConstraintDense<DenseType, IndexType>::cov(const Eigen::Ref<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) const [with DenseType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixConstraintBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  122 |     out.noalias() = _mat * Q * _mat.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_constraint_dense.ipp:116:1:   required from here
   10 |     MatrixConstraintDense<DenseType, IndexType>
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I../inst/adelie/adelie/src/include -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS  -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include   -fopenmp -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer    -c rcpp_matrix_utils_blas.cpp -o rcpp_matrix_utils_blas.o
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from decl.h:3,
                 from rcpp_matrix_utils_blas.cpp:8:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
rcpp_matrix_utils_blas.cpp:20:1:   required from here
   20 | )
      | ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
rcpp_matrix_utils_blas.cpp:20:1:   required from here
   20 | )
      | ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
rcpp_matrix_utils_blas.cpp:22:23:   required from here
   22 |     const auto p = mat.cols();
      |                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:1005:76:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
 1005 |         out.template selfadjointView<Eigen::Lower>().rankUpdate(m.transpose());
      |                                                                 ~~~~~~~~~~~^~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:1006:68:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
 1006 |         out.template triangularView<Eigen::Upper>() = out.transpose();
      |                                                       ~~~~~~~~~~~~~^~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:1011:35:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
 1011 |     out.noalias() = m.transpose() * m;
      |                     ~~~~~~~~~~~~~~^~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:1004:20:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
 1004 |         out.setZero();
      |         ~~~~~~~~~~~^~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:330:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
   72 |     typedef blas_data_mapper<typename Traits::ResScalar, Index, ColMajor, Unaligned, ResInnerStride> ResMapper;
      |                                                                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:1005:64:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
 1005 |         out.template selfadjointView<Eigen::Lower>().rankUpdate(m.transpose());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
 1080 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
   92 |     gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
      |                                                                                                             ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:1005:64:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
 1005 |         out.template selfadjointView<Eigen::Lower>().rankUpdate(m.transpose());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
 1085 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
   92 |     gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
      |                                                                                                             ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:1005:64:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
 1005 |         out.template selfadjointView<Eigen::Lower>().rankUpdate(m.transpose());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
  100 |       pack_rhs(blockB, rhs.getSubMapper(k2,0), actual_kc, size);
      |       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:1005:64:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
 1005 |         out.template selfadjointView<Eigen::Lower>().rankUpdate(m.transpose());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
  106 |         pack_lhs(blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc);
      |         ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:1005:64:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
 1005 |         out.template selfadjointView<Eigen::Lower>().rankUpdate(m.transpose());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2256 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2258 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2259 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2298 |               PacketBlock<HalfPacket> kernel_half;
      |                                       ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2304 |               PacketBlock<QuarterPacket> kernel_quarter;
      |                                          ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
  113 |           gebp(res.getSubMapper(i2, 0), blockA, blockB, actual_mc, actual_kc,
      |           ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  114 |                (std::min)(size,i2), alpha, -1, -1, 0, 0);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:1005:64:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
 1005 |         out.template selfadjointView<Eigen::Lower>().rankUpdate(m.transpose());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 16>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 4>’
  178 | class Matrix
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from ‘void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’
  155 |     Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
      |                                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:1005:64:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
 1005 |         out.template selfadjointView<Eigen::Lower>().rankUpdate(m.transpose());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from ‘void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’
  155 |     Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
      |                                                    ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:1005:64:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
 1005 |         out.template selfadjointView<Eigen::Lower>().rankUpdate(m.transpose());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:1011:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
 1011 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:1011:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
 1011 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:1011:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
 1011 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:277:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:1011:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
 1011 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:1011:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
 1011 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:1011:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
 1011 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:1011:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
 1011 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Scalar = double]’
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:1011:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
 1011 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23:   required from ‘void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’
  171 |         buffer.setZero();
      |         ~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:1005:64:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
 1005 |         out.template selfadjointView<Eigen::Lower>().rankUpdate(m.transpose());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  441 |       lazyproduct::eval_dynamic(dst, lhs, rhs, internal::assign_op<typename Dst::Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:1011:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
 1011 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:1011:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
 1011 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:1011:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
 1011 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:1011:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
 1011 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:1011:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
 1011 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:333:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
  306 |   typedef typename Traits::LhsPacket LhsPacket;
      |                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]’
  346 |     general_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  347 |         <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  348 |         actualLhs.rows(), actualLhs.cols(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  349 |         LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  350 |         RhsMapper(actualRhsPtr, 1),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                 
  351 |         dest.data(), dest.col(0).innerStride(), //NOTE  if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  352 |         actualAlpha);
      |         ~~~~~~~~~~~~                                                                                                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Scalar = double]’
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:1011:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
 1011 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
  310 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]’
  346 |     general_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  347 |         <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  348 |         actualLhs.rows(), actualLhs.cols(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  349 |         LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  350 |         RhsMapper(actualRhsPtr, 1),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                 
  351 |         dest.data(), dest.col(0).innerStride(), //NOTE  if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  352 |         actualAlpha);
      |         ~~~~~~~~~~~~                                                                                                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Scalar = double]’
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:1011:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
 1011 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 2>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
  314 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]’
  346 |     general_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  347 |         <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  348 |         actualLhs.rows(), actualLhs.cols(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  349 |         LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  350 |         RhsMapper(actualRhsPtr, 1),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                 
  351 |         dest.data(), dest.col(0).innerStride(), //NOTE  if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  352 |         actualAlpha);
      |         ~~~~~~~~~~~~                                                                                                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Scalar = double]’
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:1011:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
 1011 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:1011:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
 1011 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:1011:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
 1011 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:1011:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
 1011 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:1011:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
 1011 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:1011:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
 1011 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:1011:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
 1011 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:1011:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
 1011 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:1011:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
 1011 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:1011:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
 1011 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  441 |       lazyproduct::eval_dynamic(dst, lhs, rhs, internal::assign_op<typename Dst::Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:1011:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
 1011 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:1011:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
 1011 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:1011:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
 1011 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 1; Eigen::Index = long int]’
  654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
      |                                                    ~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  441 |       lazyproduct::eval_dynamic(dst, lhs, rhs, internal::assign_op<typename Dst::Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:1011:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
 1011 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I../inst/adelie/adelie/src/include -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS  -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include   -fopenmp -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer    -c rcpp_solver.cpp -o rcpp_solver.o
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from decl.h:3,
                 from rcpp_solver.cpp:1:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 1, -1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from ‘struct Eigen::internal::traits<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29:   required from ‘struct Eigen::internal::traits<const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   23 | template<typename T> struct traits<const T> : traits<T> {};
      |                             ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from ‘struct Eigen::internal::traits<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from ‘class Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >’
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:29:22:   required from ‘class adelie_core::glm::GlmBase<double>’
   29 |     map_cvec_value_t y;
      |                      ^
rcpp_glm.h:186:39:   required from here
  186 |     bool is_multi() const { return ptr->is_multi; }
      |                                       ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 1, -1, 1, 1, -1>’
   45 | class Array
      |       ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49:   required from ‘struct Eigen::internal::traits<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   24 |                              ? PlainObjectType::ColsAtCompileTime
      |                                                 ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from ‘class Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >’
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:29:22:   required from ‘class adelie_core::glm::GlmBase<double>’
   29 |     map_cvec_value_t y;
      |                      ^
rcpp_glm.h:186:39:   required from here
  186 |     bool is_multi() const { return ptr->is_multi; }
      |                                       ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:29:22:   required from ‘class adelie_core::glm::GlmBase<double>’
   29 |     map_cvec_value_t y;
      |                      ^
rcpp_glm.h:186:39:   required from here
  186 |     bool is_multi() const { return ptr->is_multi; }
      |                                       ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
   45 | class Array
      |       ^~~~~
rcpp_glm.h:188:27:   required from here
  188 |     vec_value_t y() const { return ptr->y; }
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
rcpp_glm.h:195:29:   required from here
  195 |         vec_value_t grad(eta.size());
      |                             ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:329:77:   required from ‘class Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >’
  329 | template<typename TPlainObjectType, int Options, typename StrideType> class Ref<const TPlainObjectType, Options, StrideType>
      |                                                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_glm.h:196:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76:   required from ‘class Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >’
  281 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
      |                                                                            ^~~
rcpp_glm.h:196:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1, 1, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1, 1, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1, 1, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, -1, 1, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, -1, 1, -1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1, 1, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, -1, 1, -1, -1>’
   45 | class Array
      |       ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49:   required from ‘struct Eigen::internal::traits<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   24 |                              ? PlainObjectType::ColsAtCompileTime
      |                                                 ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from ‘class Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >’
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:31:22:   required from ‘class adelie_core::glm::GlmMultiBase<double>’
   31 |     map_carr_value_t y;
      |                      ^
rcpp_glm.h:244:39:   required from here
  244 |     bool is_multi() const { return ptr->is_multi; }
      |                                       ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:31:22:   required from ‘class adelie_core::glm::GlmMultiBase<double>’
   31 |     map_carr_value_t y;
      |                      ^
rcpp_glm.h:244:39:   required from here
  244 |     bool is_multi() const { return ptr->is_multi; }
      |                                       ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, -1>’
   45 | class Array
      |       ^~~~~
rcpp_glm.h:246:30:   required from here
  246 |     colarr_value_t y() const { return ptr->y; }
      |                              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, -1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, -1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, -1> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Array<double, -1, -1> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
rcpp_glm.h:253:34:   required from here
  253 |         colarr_value_t gradT(etaT.rows(), etaT.cols());
      |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
rcpp_glm.h:255:41:   required from here
  255 |         Eigen::Map<rowarr_value_t> grad(gradT.data(), gradT.cols(), gradT.rows());
      |                                         ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:329:77:   required from ‘class Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’
  329 | template<typename TPlainObjectType, int Options, typename StrideType> class Ref<const TPlainObjectType, Options, StrideType>
      |                                                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_glm.h:256:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76:   required from ‘class Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’
  281 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
      |                                                                            ^~~
rcpp_glm.h:256:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49:   required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
   24 |                              ? PlainObjectType::ColsAtCompileTime
      |                                                 ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_matrix.h:452:26:   required from here
  452 |         vec_value_t out(Q.cols());
      |                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
rcpp_matrix.h:452:26:   required from here
  452 |         vec_value_t out(Q.cols());
      |                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:329:77:   required from ‘class Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
  329 | template<typename TPlainObjectType, int Options, typename StrideType> class Ref<const TPlainObjectType, Options, StrideType>
      |                                                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_matrix.h:453:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76:   required from ‘class Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
  281 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
      |                                                                            ^~~
rcpp_matrix.h:518:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1, 1, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:140:18:   required from ‘class adelie_core::matrix::MatrixNaiveBase<double, int>’
  140 |     virtual void sp_tmul(
      |                  ^~~~~~~
rcpp_matrix.h:612:24:   required from here
   27 |         if (!ptr) { \
      |              ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 1> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 1>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
rcpp_matrix.h:711:35:   required from here
  711 |         dense_64F_t outT(rows(), v.rows());
      |                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
rcpp_matrix.h:713:40:   required from here
  713 |         Eigen::Map<rowmat_value_t> out(outT.data(), outT.cols(), outT.rows());
      |                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76:   required from ‘class Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’
  281 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
      |                                                                            ^~~
rcpp_matrix.h:714:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:34:37:   required from ‘class adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>’
   34 |     const Eigen::Map<const dense_t> _mat;   // (n, d) underlying matrix
      |                                     ^~~~
rcpp_matrix.h:756:1:   required from here
  757 |     auto groups() const { return dynamic_cast<matrix_naive_interaction_dense_64F_t&>(*ptr).groups(); }
      |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:977:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
  977 | struct evaluator<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71:   required from ‘struct Eigen::internal::evaluator<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
 1018 |     Flags = evaluator<Map<PlainObjectType, RefOptions, StrideType> >::Flags,
      |                                                                       ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >]’
  288 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
      |                                                                                                     ^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.ipp:100:19:   required from ‘std::tuple<long unsigned int, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, double, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, double> > > > adelie_core::io::IOSNPUnphased<MmapPtrType>::write(const Eigen::Ref<const Eigen::Array<signed char, -1, -1, 0, -1, -1> >&, const std::string&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, size_t) const [with MmapPtrType = std::shared_ptr<char>; std::string = std::__cxx11::basic_string<char>; size_t = long unsigned int]’
  100 |     compute_impute(calldata, impute_method, impute, n_threads);
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_io.h:33:41:   required from here
   33 |         return std::get<0>(base_t::write(calldata8, impute_method, impute, n_threads));
      |                            ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.ipp:3,
                 from rcpp_io.h:4,
                 from rcpp_matrix.h:4,
                 from rcpp_solver.cpp:3:
../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.ipp: In instantiation of ‘std::tuple<long unsigned int, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, double, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, double> > > > adelie_core::io::IOSNPUnphased<MmapPtrType>::write(const Eigen::Ref<const Eigen::Array<signed char, -1, -1, 0, -1, -1> >&, const std::string&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, size_t) const [with MmapPtrType = std::shared_ptr<char>; std::string = std::__cxx11::basic_string<char>; size_t = long unsigned int]’:
rcpp_io.h:33:41:   required from here
   33 |         return std::get<0>(base_t::write(calldata8, impute_method, impute, n_threads));
      |                            ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:74:43: note: initializing argument 3 of ‘void adelie_core::io::compute_impute(const Eigen::Ref<const Eigen::Array<signed char, -1, -1, 0, -1, -1> >&, adelie_core::util::impute_method_type, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, size_t)’
   74 |     Eigen::Ref<util::rowvec_type<double>> impute,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:118:45:   required from ‘void adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::mean(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) const [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  118 |         vec_value_t ones = vec_value_t::Ones(weights.size());
      |                            ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
rcpp_matrix.h:723:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:132:35:   required from ‘void adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::var(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) const [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  132 |         out += centers * (centers * sum_w - 2 * m);
      |                           ~~~~~~~~^~~~~~~
rcpp_matrix.h:733:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:132:35:   required from ‘void adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::var(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) const [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  132 |         out += centers * (centers * sum_w - 2 * m);
      |                           ~~~~~~~~^~~~~~~
rcpp_matrix.h:733:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:132:47:   required from ‘void adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::var(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) const [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  132 |         out += centers * (centers * sum_w - 2 * m);
      |                                             ~~^~~
rcpp_matrix.h:733:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:132:43:   required from ‘void adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::var(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) const [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  132 |         out += centers * (centers * sum_w - 2 * m);
      |                          ~~~~~~~~~~~~~~~~~^~~~~~~~
rcpp_matrix.h:733:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:132:24:   required from ‘void adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::var(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) const [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  132 |         out += centers * (centers * sum_w - 2 * m);
      |                ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_matrix.h:733:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseVector<double, 1, int> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseVector<double, 1, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h:64:7:   required from ‘class Eigen::SparseVector<double, 1, int>’
   64 | class SparseVector
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multigaussian_naive.hpp:35:52:   required from ‘void adelie_core::solver::multigaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multigaussian_naive_64(r_state_multigaussian_naive_64_t, bool)::<lambda()>; CUIType = r_solve_multigaussian_naive_64(r_state_multigaussian_naive_64_t, bool)::<lambda()>]’
   35 |                 Eigen::Map<const vec_value_t>(beta.valuePtr(), n_classes)
      |                                               ~~~~~^~~~~~~~
rcpp_solver.cpp:143:48:   required from here
  143 |         ad::solver::multigaussian::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  144 |             static_cast<state_multigaussian_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  145 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~          
  146 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~                
  147 |         );
      |         ~                                       
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Block<Eigen::SparseVector<double, 1, int>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7:   required from ‘class Eigen::BlockImpl<Eigen::SparseVector<double, 1, int>, 1, -1, false, Eigen::Sparse>’
  333 | class BlockImpl<XprType,BlockRows,BlockCols,InnerPanel,Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::SparseVector<double, 1, int>, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::SparseVector<double, 1, int>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multigaussian_naive.hpp:37:29:   required from ‘void adelie_core::solver::multigaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multigaussian_naive_64(r_state_multigaussian_naive_64_t, bool)::<lambda()>; CUIType = r_solve_multigaussian_naive_64(r_state_multigaussian_naive_64_t, bool)::<lambda()>]’
   37 |             beta = beta.tail(beta.size() - n_classes);
      |                    ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_solver.cpp:143:48:   required from here
  143 |         ad::solver::multigaussian::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  144 |             static_cast<state_multigaussian_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  145 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~          
  146 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~                
  147 |         );
      |         ~                                       
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 1, 1, 1, 1, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from ‘struct Eigen::internal::traits<Eigen::Array<double, 1, 1, 1, 1, 1> >’
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 1, 1, 1, 1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 1, 1, 1, 1, 1>’
   45 | class Array
      |       ^~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:294:35:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  294 |     util::rowvec_type<value_t, 1> lmda_path;
      |                                   ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, 1, 1, 1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, 1, 1, 1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, 1, 1, 1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, 1, 1, 1, 1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, 1, 1, 1, 1, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 1, 1, 1, 1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 1, 1, 1, 1, 1>’
   45 | class Array
      |       ^~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:294:35:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  294 |     util::rowvec_type<value_t, 1> lmda_path;
      |                                   ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.hpp:36:7:   required from ‘class adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>’
   36 | class StateGaussianPinCov: public StateGaussianPinBase<
      |       ^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:313:30:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  313 |     state_gaussian_pin_cov_t state_gaussian_pin_cov(
      |                              ^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:414:31:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)> [with auto:171 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:172 = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>; auto:173 = double]’
  414 |         matrix::dvveq(grad, v - grad, n_threads);
      |                             ~~^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:512:28:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  512 |         update_invariance_f(state, state_gaussian_pin, large_lmda);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<adelie_core::solver::compute_lmda_max<Eigen::Array<double, 1, -1, 1, 1, -1>, double, Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Array<double, 1, -1, 1, 1, -1>&, double, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double)::<lambda(auto:147)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<adelie_core::solver::compute_lmda_max<Eigen::Array<double, 1, -1, 1, 1, -1>, double, Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Array<double, 1, -1, 1, 1, -1>&, double, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double)::<lambda(auto:147)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<adelie_core::solver::compute_lmda_max<Eigen::Array<double, 1, -1, 1, 1, -1>, double, Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Array<double, 1, -1, 1, 1, -1>&, double, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double)::<lambda(auto:147)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<adelie_core::solver::compute_lmda_max<Eigen::Array<double, 1, -1, 1, 1, -1>, double, Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Array<double, 1, -1, 1, 1, -1>&, double, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double)::<lambda(auto:147)>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/utils.hpp:17:36:   required from ‘auto adelie_core::solver::compute_lmda_max(const AbsGradType&, ValueType, const PenaltyType&, ValueType) [with AbsGradType = Eigen::Array<double, 1, -1, 1, 1, -1>; ValueType = double; PenaltyType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
   17 |     return vec_value_t::NullaryExpr(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~^
   18 |         abs_grad.size(),
      |         ~~~~~~~~~~~~~~~~            
   19 |         [&](auto i) {
      |         ~~~~~~~~~~~~~               
   20 |             return (penalty[i] <= 0.0) ? 0.0 : abs_grad[i] / penalty[i];
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   21 |         }
      |         ~                           
   22 |     ).maxCoeff() / factor;
      |     ~                               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:514:36:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  514 |         lmda_max = compute_lmda_max(abs_grad, alpha, penalty);
      |                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:558:29:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  558 |         large_lmda_path.head(large_lmda_path_size) = lmda_path.head(large_lmda_path_size);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71:   required from ‘struct Eigen::internal::evaluator<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
 1018 |     Flags = evaluator<Map<PlainObjectType, RefOptions, StrideType> >::Flags,
      |                                                                       ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:128:39:   required from ‘void adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::var(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) const [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  128 |         const auto sum_w = weights.sum();
      |                            ~~~~~~~~~~~^~
rcpp_matrix.h:733:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:97:45:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Array<double, 1, -1, 1, 1, -1>; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
   97 |         x1.segment(begin, size) = x2.segment(begin, size);
      |                                   ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:414:22:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)> [with auto:171 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:172 = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>; auto:173 = double]’
  414 |         matrix::dvveq(grad, v - grad, n_threads);
      |         ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:512:28:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  512 |         update_invariance_f(state, state_gaussian_pin, large_lmda);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Array<double, 1, -1, 1, 1, -1>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:67:46:   required from ‘void adelie_core::solver::update_abs_grad(StateType&, ValueType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; ValueType = double]’
   67 |         const auto common_expr = grad.segment(k, size_k) - regul * sbeta;
      |                                  ~~~~~~~~~~~~^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:416:24:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)> [with auto:171 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:172 = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>; auto:173 = double]’
  416 |         update_abs_grad(state, lmda);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:512:28:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  512 |         update_invariance_f(state, state_gaussian_pin, large_lmda);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:67:66:   required from ‘void adelie_core::solver::update_abs_grad(StateType&, ValueType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; ValueType = double]’
   67 |         const auto common_expr = grad.segment(k, size_k) - regul * sbeta;
      |                                                            ~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:416:24:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)> [with auto:171 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:172 = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>; auto:173 = double]’
  416 |         update_abs_grad(state, lmda);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:512:28:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  512 |         update_invariance_f(state, state_gaussian_pin, large_lmda);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:67:58:   required from ‘void adelie_core::solver::update_abs_grad(StateType&, ValueType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; ValueType = double]’
   67 |         const auto common_expr = grad.segment(k, size_k) - regul * sbeta;
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:416:24:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)> [with auto:171 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:172 = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>; auto:173 = double]’
  416 |         update_abs_grad(state, lmda);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:512:28:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  512 |         update_invariance_f(state, state_gaussian_pin, large_lmda);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:70:45:   required from ‘void adelie_core::solver::update_abs_grad(StateType&, ValueType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; ValueType = double]’
   70 |             abs_grad[i] = common_expr.matrix().norm();
      |                           ~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:416:24:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)> [with auto:171 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:172 = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>; auto:173 = double]’
  416 |         update_abs_grad(state, lmda);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:512:28:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  512 |         update_invariance_f(state, state_gaussian_pin, large_lmda);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:277:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>]’
  288 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
      |                                                                                                     ^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:73:33:   required from ‘void adelie_core::solver::update_abs_grad(StateType&, ValueType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; ValueType = double]’
   73 |             constraint->gradient(sbeta, vbuff);
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:416:24:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)> [with auto:171 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:172 = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>; auto:173 = double]’
  416 |         update_abs_grad(state, lmda);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:512:28:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  512 |         update_invariance_f(state, state_gaussian_pin, large_lmda);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:74:40:   required from ‘void adelie_core::solver::update_abs_grad(StateType&, ValueType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; ValueType = double]’
   74 |             abs_grad[i] = (common_expr - vbuff).matrix().norm();
      |                           ~~~~~~~~~~~~~^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:416:24:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)> [with auto:171 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:172 = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>; auto:173 = double]’
  416 |         update_abs_grad(state, lmda);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:512:28:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  512 |         update_invariance_f(state, state_gaussian_pin, large_lmda);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:74:55:   required from ‘void adelie_core::solver::update_abs_grad(StateType&, ValueType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; ValueType = double]’
   74 |             abs_grad[i] = (common_expr - vbuff).matrix().norm();
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:416:24:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)> [with auto:171 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:172 = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>; auto:173 = double]’
  416 |         update_abs_grad(state, lmda);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:512:28:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  512 |         update_invariance_f(state, state_gaussian_pin, large_lmda);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:340:101:   required by substitution of ‘template<class Derived> Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >::match<Derived>::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>]’
  340 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::ScalarTypeMatch),Derived>::type* = 0)
      |                                                                                                     ^~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:91:39:   required from ‘void adelie_core::solver::update_abs_grad(StateType&, ValueType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; ValueType = double]’
   91 |                 constraint->solve_zero(v_k, cbuff) :
      |                 ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:416:24:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)> [with auto:171 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:172 = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>; auto:173 = double]’
  416 |         update_abs_grad(state, lmda);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:512:28:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  512 |         update_invariance_f(state, state_gaussian_pin, large_lmda);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:92:27:   required from ‘void adelie_core::solver::update_abs_grad(StateType&, ValueType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; ValueType = double]’
   92 |                 v_k.matrix().norm()
      |                 ~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:416:24:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)> [with auto:171 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:172 = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>; auto:173 = double]’
  416 |         update_abs_grad(state, lmda);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:512:28:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  512 |         update_invariance_f(state, state_gaussian_pin, large_lmda);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/utils.hpp:37:68:   required from ‘void adelie_core::solver::compute_lmda_path(LmdaPathType&, ValueType, ValueType) [with LmdaPathType = Eigen::Array<double, 1, -1, 1, 1, -1>; ValueType = double]’
   37 |         lmda_path = lmda_max * (log_factor * vec_value_t::LinSpaced(
      |                                              ~~~~~~~~~~~~~~~~~~~~~~^
   38 |             lmda_path_size, 0, lmda_path_size-1
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                     
   39 |         )).exp();
      |         ~                                                           
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:525:26:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  525 |         compute_lmda_path(lmda_path, min_ratio, lmda_max);
      |         ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/utils.hpp:37:44:   required from ‘void adelie_core::solver::compute_lmda_path(LmdaPathType&, ValueType, ValueType) [with LmdaPathType = Eigen::Array<double, 1, -1, 1, 1, -1>; ValueType = double]’
   37 |         lmda_path = lmda_max * (log_factor * vec_value_t::LinSpaced(
      |                                ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
   38 |             lmda_path_size, 0, lmda_path_size-1
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   39 |         )).exp();
      |         ~~                                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:525:26:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  525 |         compute_lmda_path(lmda_path, min_ratio, lmda_max);
      |         ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/utils.hpp:39:15:   required from ‘void adelie_core::solver::compute_lmda_path(LmdaPathType&, ValueType, ValueType) [with LmdaPathType = Eigen::Array<double, 1, -1, 1, 1, -1>; ValueType = double]’
   37 |         lmda_path = lmda_max * (log_factor * vec_value_t::LinSpaced(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |             lmda_path_size, 0, lmda_path_size-1
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   39 |         )).exp();
      |         ~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:525:26:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  525 |         compute_lmda_path(lmda_path, min_ratio, lmda_max);
      |         ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/utils.hpp:37:30:   required from ‘void adelie_core::solver::compute_lmda_path(LmdaPathType&, ValueType, ValueType) [with LmdaPathType = Eigen::Array<double, 1, -1, 1, 1, -1>; ValueType = double]’
   37 |         lmda_path = lmda_max * (log_factor * vec_value_t::LinSpaced(
      |                     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |             lmda_path_size, 0, lmda_path_size-1
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   39 |         )).exp();
      |         ~~~~~~~~              
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:525:26:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  525 |         compute_lmda_path(lmda_path, min_ratio, lmda_max);
      |         ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:158)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:158)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:158)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:158)>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:314:59:   required from ‘void adelie_core::solver::screen(StateType&, ValueType, bool, int) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; ValueType = double]’
  314 |             vec_value_t weights = vec_value_t::NullaryExpr(
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^
  315 |                 G, [&](auto i) {
      |                 ~~~~~~~~~~~~~~~~                           
  316 |                     return (penalty[i] <= 0) ?
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  317 |                         alpha * lmda : std::min(abs_grad[i] / penalty[i], alpha * lmda);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  318 |                 }
      |                 ~                                          
  319 |             );
      |             ~                                              
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:429:23:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  429 |         solver::screen(
      |         ~~~~~~~~~~~~~~^
  430 |             state,
      |             ~~~~~~     
  431 |             lmda,
      |             ~~~~~      
  432 |             kkt_passed,
      |             ~~~~~~~~~~~
  433 |             n_new_active
      |             ~~~~~~~~~~~~
  434 |         );
      |         ~              
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:161)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:161)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:161)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:161)>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:332:70:   required from ‘void adelie_core::solver::screen(StateType&, ValueType, bool, int) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; ValueType = double]’
  332 |             vec_value_t weights_sorted_sub = vec_value_t::NullaryExpr(
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~^
  333 |                 subset_size,
      |                 ~~~~~~~~~~~~                                          
  334 |                 [&](auto i) { return weights[order[G-subset_size+i]]; }
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  335 |             );
      |             ~                                                         
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:429:23:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  429 |         solver::screen(
      |         ~~~~~~~~~~~~~~^
  430 |             state,
      |             ~~~~~~     
  431 |             lmda,
      |             ~~~~~      
  432 |             kkt_passed,
      |             ~~~~~~~~~~~
  433 |             n_new_active
      |             ~~~~~~~~~~~~
  434 |         );
      |         ~              
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, 1, 0, 1, 1>’
  178 | class Matrix
      |       ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:77:46:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |             util::colmat_type<value_t, 1, 1> Q;
      |                                              ^
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21:   required from ‘class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >’
   92 |             >::type DiagonalReturnType;
      |                     ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from ‘class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >’
  111 |     typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType;
      |                                                              ^~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21:   required from ‘class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >’
   97 |             >::type SubDiagonalReturnType;
      |                     ^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from ‘class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >’
  111 |     typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType;
      |                                                              ^~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from ‘class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >’
  111 |     typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType;
      |                                                              ^~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:93:55:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   93 |         svars.head(D.size()) = D.array() * (D.array() >= 0).template cast<value_t>();
      |                                            ~~~~~~~~~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:339:24:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  339 |         hess = hess.max(0) + value_t(Configs::hessian_min) * (hess <= 0).template cast<value_t>();
      |                ~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:526:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)> [with auto:216 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:217 = double]’
  526 |         return fit(
      |                ~~~^
  527 |             state,
      |             ~~~~~~ 
  528 |             glm,
      |             ~~~~   
  529 |             buffer_pack,
      |             ~~~~~~~~~~~~
  530 |             lmda,
      |             ~~~~~  
  531 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  532 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:563:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  563 |     solve(
      |     ~~~~~^
  564 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  565 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  566 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  567 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  568 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  569 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  570 |         },
      |         ~~
  571 |         [](){},
      |         ~~~~~~~
  572 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  573 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from ‘struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:339:96:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  339 |         hess = hess.max(0) + value_t(Configs::hessian_min) * (hess <= 0).template cast<value_t>();
      |                                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:526:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)> [with auto:216 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:217 = double]’
  526 |         return fit(
      |                ~~~^
  527 |             state,
      |             ~~~~~~ 
  528 |             glm,
      |             ~~~~   
  529 |             buffer_pack,
      |             ~~~~~~~~~~~~
  530 |             lmda,
      |             ~~~~~  
  531 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  532 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:563:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  563 |     solve(
      |     ~~~~~^
  564 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  565 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  566 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  567 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  568 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  569 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  570 |         },
      |         ~~
  571 |         [](){},
      |         ~~~~~~~
  572 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  573 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:339:60:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  339 |         hess = hess.max(0) + value_t(Configs::hessian_min) * (hess <= 0).template cast<value_t>();
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:526:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)> [with auto:216 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:217 = double]’
  526 |         return fit(
      |                ~~~^
  527 |             state,
      |             ~~~~~~ 
  528 |             glm,
      |             ~~~~   
  529 |             buffer_pack,
      |             ~~~~~~~~~~~~
  530 |             lmda,
      |             ~~~~~  
  531 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  532 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:563:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  563 |     solve(
      |     ~~~~~^
  564 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  565 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  566 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  567 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  568 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  569 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  570 |         },
      |         ~~
  571 |         [](){},
      |         ~~~~~~~
  572 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  573 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:339:28:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  339 |         hess = hess.max(0) + value_t(Configs::hessian_min) * (hess <= 0).template cast<value_t>();
      |                ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:526:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)> [with auto:216 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:217 = double]’
  526 |         return fit(
      |                ~~~^
  527 |             state,
      |             ~~~~~~ 
  528 |             glm,
      |             ~~~~   
  529 |             buffer_pack,
      |             ~~~~~~~~~~~~
  530 |             lmda,
      |             ~~~~~  
  531 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  532 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:563:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  563 |     solve(
      |     ~~~~~^
  564 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  565 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  566 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  567 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  568 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  569 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  570 |         },
      |         ~~
  571 |         [](){},
      |         ~~~~~~~
  572 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  573 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:341:29:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  341 |         irls_weights = hess / hess_sum;
      |                        ~~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:526:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)> [with auto:216 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:217 = double]’
  526 |         return fit(
      |                ~~~^
  527 |             state,
      |             ~~~~~~ 
  528 |             glm,
      |             ~~~~   
  529 |             buffer_pack,
      |             ~~~~~~~~~~~~
  530 |             lmda,
      |             ~~~~~  
  531 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  532 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:563:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  563 |     solve(
      |     ~~~~~^
  564 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  565 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  566 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  567 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  568 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  569 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  570 |         },
      |         ~~
  571 |         [](){},
      |         ~~~~~~~
  572 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  573 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:342:46:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  342 |         irls_weights_sqrt = irls_weights.sqrt();
      |                             ~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:526:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)> [with auto:216 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:217 = double]’
  526 |         return fit(
      |                ~~~^
  527 |             state,
      |             ~~~~~~ 
  528 |             glm,
      |             ~~~~   
  529 |             buffer_pack,
      |             ~~~~~~~~~~~~
  530 |             lmda,
      |             ~~~~~  
  531 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  532 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:563:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  563 |     solve(
      |     ~~~~~^
  564 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  565 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  566 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  567 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  568 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  569 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  570 |         },
      |         ~~
  571 |         [](){},
      |         ~~~~~~~
  572 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  573 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:343:29:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  343 |         irls_y = irls_resid + eta - offsets;
      |                  ~~~~~~~~~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:526:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)> [with auto:216 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:217 = double]’
  526 |         return fit(
      |                ~~~^
  527 |             state,
      |             ~~~~~~ 
  528 |             glm,
      |             ~~~~   
  529 |             buffer_pack,
      |             ~~~~~~~~~~~~
  530 |             lmda,
      |             ~~~~~  
  531 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  532 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:563:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  563 |     solve(
      |     ~~~~~^
  564 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  565 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  566 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  567 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  568 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  569 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  570 |         },
      |         ~~
  571 |         [](){},
      |         ~~~~~~~
  572 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  573 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:343:35:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  343 |         irls_y = irls_resid + eta - offsets;
      |                  ~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:526:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)> [with auto:216 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:217 = double]’
  526 |         return fit(
      |                ~~~^
  527 |             state,
      |             ~~~~~~ 
  528 |             glm,
      |             ~~~~   
  529 |             buffer_pack,
      |             ~~~~~~~~~~~~
  530 |             lmda,
      |             ~~~~~  
  531 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  532 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:563:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  563 |     solve(
      |     ~~~~~^
  564 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  565 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  566 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  567 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  568 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  569 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  570 |         },
      |         ~~
  571 |         [](){},
      |         ~~~~~~~
  572 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  573 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:344:43:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  344 |         const auto y_mean = (irls_weights * irls_y).sum();
      |                             ~~~~~~~~~~~~~~^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:526:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)> [with auto:216 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:217 = double]’
  526 |         return fit(
      |                ~~~^
  527 |             state,
      |             ~~~~~~ 
  528 |             glm,
      |             ~~~~   
  529 |             buffer_pack,
      |             ~~~~~~~~~~~~
  530 |             lmda,
      |             ~~~~~  
  531 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  532 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:563:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  563 |     solve(
      |     ~~~~~^
  564 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  565 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  566 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  567 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  568 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  569 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  570 |         },
      |         ~~
  571 |         [](){},
      |         ~~~~~~~
  572 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  573 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:345:57:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  345 |         const auto y_var = (irls_weights * irls_y.square()).sum() - intercept * y_mean * y_mean;
      |                                            ~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:526:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)> [with auto:216 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:217 = double]’
  526 |         return fit(
      |                ~~~^
  527 |             state,
      |             ~~~~~~ 
  528 |             glm,
      |             ~~~~   
  529 |             buffer_pack,
      |             ~~~~~~~~~~~~
  530 |             lmda,
      |             ~~~~~  
  531 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  532 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:563:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  563 |     solve(
      |     ~~~~~^
  564 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  565 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  566 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  567 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  568 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  569 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  570 |         },
      |         ~~
  571 |         [](){},
      |         ~~~~~~~
  572 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  573 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:345:42:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  345 |         const auto y_var = (irls_weights * irls_y.square()).sum() - intercept * y_mean * y_mean;
      |                            ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:526:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)> [with auto:216 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:217 = double]’
  526 |         return fit(
      |                ~~~^
  527 |             state,
      |             ~~~~~~ 
  528 |             glm,
      |             ~~~~   
  529 |             buffer_pack,
      |             ~~~~~~~~~~~~
  530 |             lmda,
      |             ~~~~~  
  531 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  532 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:563:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  563 |     solve(
      |     ~~~~~^
  564 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  565 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  566 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  567 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  568 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  569 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  570 |         },
      |         ~~
  571 |         [](){},
      |         ~~~~~~~
  572 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  573 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:441:22:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  441 |         eta = irls_y + offsets - irls_resid;
      |               ~~~~~~~^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:526:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)> [with auto:216 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:217 = double]’
  526 |         return fit(
      |                ~~~^
  527 |             state,
      |             ~~~~~~ 
  528 |             glm,
      |             ~~~~   
  529 |             buffer_pack,
      |             ~~~~~~~~~~~~
  530 |             lmda,
      |             ~~~~~  
  531 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  532 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:563:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  563 |     solve(
      |     ~~~~~^
  564 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  565 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  566 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  567 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  568 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  569 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  570 |         },
      |         ~~
  571 |         [](){},
      |         ~~~~~~~
  572 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  573 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:441:32:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  441 |         eta = irls_y + offsets - irls_resid;
      |               ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:526:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)> [with auto:216 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:217 = double]’
  526 |         return fit(
      |                ~~~^
  527 |             state,
      |             ~~~~~~ 
  528 |             glm,
      |             ~~~~   
  529 |             buffer_pack,
      |             ~~~~~~~~~~~~
  530 |             lmda,
      |             ~~~~~  
  531 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  532 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:563:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  563 |     solve(
      |     ~~~~~^
  564 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  565 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  566 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  567 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  568 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  569 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  570 |         },
      |         ~~
  571 |         [](){},
      |         ~~~~~~~
  572 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  573 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:449:30:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  449 |         if (std::abs(((resid - resid_prev) * (eta - eta_prev)).sum()) <= irls_tol) {
      |                       ~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:526:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)> [with auto:216 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:217 = double]’
  526 |         return fit(
      |                ~~~^
  527 |             state,
      |             ~~~~~~ 
  528 |             glm,
      |             ~~~~   
  529 |             buffer_pack,
      |             ~~~~~~~~~~~~
  530 |             lmda,
      |             ~~~~~  
  531 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  532 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:563:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  563 |     solve(
      |     ~~~~~^
  564 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  565 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  566 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  567 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  568 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  569 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  570 |         },
      |         ~~
  571 |         [](){},
      |         ~~~~~~~
  572 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  573 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:449:44:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  449 |         if (std::abs(((resid - resid_prev) * (eta - eta_prev)).sum()) <= irls_tol) {
      |                      ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:526:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)> [with auto:216 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:217 = double]’
  526 |         return fit(
      |                ~~~^
  527 |             state,
      |             ~~~~~~ 
  528 |             glm,
      |             ~~~~   
  529 |             buffer_pack,
      |             ~~~~~~~~~~~~
  530 |             lmda,
      |             ~~~~~  
  531 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  532 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:563:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  563 |     solve(
      |     ~~~~~^
  564 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  565 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  566 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  567 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  568 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  569 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  570 |         },
      |         ~~
  571 |         [](){},
      |         ~~~~~~~
  572 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  573 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::SparseVector<double, 1, int>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h:445:22:   required from ‘static void Eigen::internal::sparse_vector_assign_selector<Dest, Src, 1>::run(Dest&, const Src&) [with Dest = Eigen::SparseVector<double, 1, int>; Src = Eigen::Block<Eigen::SparseVector<double, 1, int>, 1, -1, false>]’
  445 |     SrcEvaluatorType srcEval(src);
      |                      ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h:319:78:   required from ‘Eigen::SparseVector<_Scalar, _Flags, _StorageIndex>& Eigen::SparseVector<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::SparseVector<double, 1, int>, 1, -1, false>; _Scalar = double; int _Options = 1; _StorageIndex = int]’
  319 |       internal::sparse_vector_assign_selector<SparseVector,OtherDerived>::run(tmp,other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multigaussian_naive.hpp:37:18:   required from ‘void adelie_core::solver::multigaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multigaussian_naive_64(r_state_multigaussian_naive_64_t, bool)::<lambda()>; CUIType = r_solve_multigaussian_naive_64(r_state_multigaussian_naive_64_t, bool)::<lambda()>]’
   37 |             beta = beta.tail(beta.size() - n_classes);
      |             ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_solver.cpp:143:48:   required from here
  143 |         ad::solver::multigaussian::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  144 |             static_cast<state_multigaussian_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  145 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~          
  146 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~                
  147 |         );
      |         ~                                       
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Array<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Array<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Func = assign_op<double, double>]’
  883 |   ActualDstType actualDst(dst);
      |                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Array<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Array<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:288:29:   required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase<OtherDerived>&, typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type) [with OtherDerived = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1; typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type = Eigen::Array<double, -1, 1>::PrivateType; typename OtherDerived::Scalar = double; typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar = double]’
  288 |       : Base(other.derived())
      |                             ^
rcpp_glm.h:188:41:   required from here
  188 |     vec_value_t y() const { return ptr->y; }
      |                                    ~~~~~^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, 1, -1, 1, 1, -1>; Src = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Func = assign_op<double, double>]’
  883 |   ActualDstType actualDst(dst);
      |                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:371:41:   required from ‘void Eigen::Ref<const TPlainObjectType, Options, StrideType>::construct(const Expression&, Eigen::internal::false_type) [with Expression = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array<double, 1, -1, 1, 1, -1>; int Options = 0; StrideType = Eigen::InnerStride<1>]’
  371 |       internal::call_assignment_no_alias(m_object,expr,internal::assign_op<Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:364:18:   required from ‘void Eigen::Ref<const TPlainObjectType, Options, StrideType>::construct(const Expression&, Eigen::internal::true_type) [with Expression = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array<double, 1, -1, 1, 1, -1>; int Options = 0; StrideType = Eigen::InnerStride<1>]’
  364 |         construct(expr, internal::false_type());
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:345:16:   required from ‘Eigen::Ref<const TPlainObjectType, Options, StrideType>::Ref(const Eigen::DenseBase<OtherDerived>&, typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits<Eigen::Ref<const TPlainObjectType, Options, StrideType> >::match<Derived>::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array<double, 1, -1, 1, 1, -1>; int Options = 0; StrideType = Eigen::InnerStride<1>; typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits<Eigen::Ref<const TPlainObjectType, Options, StrideType> >::match<Derived>::ScalarTypeMatch), Derived>::type = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<Eigen::Ref<const TPlainObjectType, Options, StrideType> >::match<Derived> = Eigen::internal::traits<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]’
  345 |       construct(expr.derived(), typename Traits::template match<Derived>::type());
      |       ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_glm.h:196:17:   required from here
  196 |         [&]() { ADELIE_CORE_PIMPL_OVERRIDE(gradient, eta, grad); }();
      |                                                      ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, 1, 1, 1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, 1, 1, 1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, 1, 1, 1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, 1, 1, 1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Array<double, 1, 1, 1, 1, 1>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:92:24:   required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Scalar&) [with _Scalar = double; int _Rows = 1; int _Cols = 1; int _Options = 1; int _MaxRows = 1; int _MaxCols = 1; Scalar = double]’
   92 |       Base::setConstant(value);
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:295:15:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  295 |     lmda_path = lmda;
      |     ~~~~~~~~~~^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, 1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, 1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, 1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 1, 1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 1, 1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 1, 1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, 1, 1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, 1, 1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Array<double, 1, 1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<const Eigen::Array<double, 1, 1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Array<double, 1, 1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Map<const Eigen::SparseVector<double, 1, int>, 0, Eigen::Stride<0, 0> > >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Map<const Eigen::SparseVector<double, 1, int>, 0, Eigen::Stride<0, 0> > >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<const Eigen::SparseVector<double, 1, int>, 0, Eigen::Stride<0, 0> >, 0>’
   50 | class SparseMapBase<Derived,ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/eigen/map_sparsevector.hpp:22:8:   required from ‘class Eigen::Map<const Eigen::SparseVector<double, 1, int>, 0, Eigen::Stride<0, 0> >’
   22 |  class Map<const SparseVector<MatScalar,MatOptions,MatIndex>, Options, StrideType>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:216:38:   required from ‘typename StateType::sp_vec_value_t adelie_core::solver::sparsify_dual(const StateType&, VecIndexType&, VecValueType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; VecIndexType = Eigen::Array<int, 1, -1, 1, 1, -1>; VecValueType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename StateType::sp_vec_value_t = Eigen::SparseVector<double, 1, int>]’
  216 |     Eigen::Map<const sp_vec_value_t> dual_map(
      |                                      ^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:225:37:   required from ‘void adelie_core::solver::gaussian::cov::update_solutions(StateType&, StateGaussianPinType&, ValueType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; StateGaussianPinType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>; ValueType = double]’
  225 |     duals.emplace_back(sparsify_dual(state, dual_indices, dual_values));
      |                        ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:419:25:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)> [with auto:174 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:175 = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>; auto:176 = double]’
  419 |         update_solutions(
      |         ~~~~~~~~~~~~~~~~^
  420 |             state,
      |             ~~~~~~       
  421 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  422 |             lmda
      |             ~~~~         
  423 |         );
      |         ~                
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:573:35:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  573 |                 update_solutions_f(
      |                 ~~~~~~~~~~~~~~~~~~^
  574 |                     state,
      |                     ~~~~~~         
  575 |                     state_gaussian_pin,
      |                     ~~~~~~~~~~~~~~~~~~~
  576 |                     large_lmda_path[i]
      |                     ~~~~~~~~~~~~~~~~~~
  577 |                 );
      |                 ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from ‘struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:93:42:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)> [with auto:165 = long int]’
   93 |         svars.head(D.size()) = D.array() * (D.array() >= 0).template cast<value_t>();
      |                                ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:67:46:   required from ‘void adelie_core::matrix::dvsubi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Array<double, 1, -1, 1, 1, -1>; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’
   67 |         x1.segment(begin, size) -= x2.segment(begin, size);
      |                                    ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:390:27:   required from ‘adelie_core::solver::gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:188&, const auto:189&, auto:190)> [with auto:188 = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:189 = adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>; auto:190 = double]’
  390 |             matrix::dvsubi(grad, resid_sum * X_means, n_threads);
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:512:28:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:185&, auto:186&)>; UpdateLossNullType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:187&)>; UpdateInvarianceType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:188&, const auto:189&, auto:190)>; UpdateSolutionsType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:191&, auto:192&, auto:193)>; EarlyExitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:194&)>; ScreenType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:195&, auto:196, auto:197, auto:198)>; FitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:199&, auto:200)>]’
  512 |         update_invariance_f(state, state_gaussian_pin, large_lmda);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:423:23:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; TidyType = solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  423 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  424 |         state,
      |         ~~~~~~         
  425 |         pb,
      |         ~~~            
  426 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  427 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  428 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  429 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  430 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  431 |         screen_f,
      |         ~~~~~~~~~      
  432 |         fit_f
      |         ~~~~~          
  433 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:449:10:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  449 |     solve(
      |     ~~~~~^
  450 |         state,
      |         ~~~~~~
  451 |         pb,
      |         ~~~
  452 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  453 |         [](){},
      |         ~~~~~~~
  454 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  455 |     );
      |     ~     
rcpp_solver.cpp:68:43:   required from here
   68 |         ad::solver::gaussian::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   69 |             static_cast<state_gaussian_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   70 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~     
   71 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
   72 |         );
      |         ~                                  
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:158)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:158)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:158)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:158)>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:314:59:   required from ‘void adelie_core::solver::screen(StateType&, ValueType, bool, int) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; ValueType = double]’
  314 |             vec_value_t weights = vec_value_t::NullaryExpr(
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^
  315 |                 G, [&](auto i) {
      |                 ~~~~~~~~~~~~~~~~                           
  316 |                     return (penalty[i] <= 0) ?
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  317 |                         alpha * lmda : std::min(abs_grad[i] / penalty[i], alpha * lmda);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  318 |                 }
      |                 ~                                          
  319 |             );
      |             ~                                              
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:406:23:   required from ‘adelie_core::solver::gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:195&, auto:196, auto:197, auto:198)> [with auto:195 = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:196 = double; auto:197 = bool; auto:198 = int]’
  406 |         solver::screen(
      |         ~~~~~~~~~~~~~~^
  407 |             state,
      |             ~~~~~~     
  408 |             lmda,
      |             ~~~~~      
  409 |             kkt_passed,
      |             ~~~~~~~~~~~
  410 |             n_new_active
      |             ~~~~~~~~~~~~
  411 |         );
      |         ~              
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:185&, auto:186&)>; UpdateLossNullType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:187&)>; UpdateInvarianceType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:188&, const auto:189&, auto:190)>; UpdateSolutionsType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:191&, auto:192&, auto:193)>; EarlyExitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:194&)>; ScreenType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:195&, auto:196, auto:197, auto:198)>; FitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:199&, auto:200)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:423:23:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; TidyType = solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  423 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  424 |         state,
      |         ~~~~~~         
  425 |         pb,
      |         ~~~            
  426 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  427 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  428 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  429 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  430 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  431 |         screen_f,
      |         ~~~~~~~~~      
  432 |         fit_f
      |         ~~~~~          
  433 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:449:10:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  449 |     solve(
      |     ~~~~~^
  450 |         state,
      |         ~~~~~~
  451 |         pb,
      |         ~~~
  452 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  453 |         [](){},
      |         ~~~~~~~
  454 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  455 |     );
      |     ~     
rcpp_solver.cpp:68:43:   required from here
   68 |         ad::solver::gaussian::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   69 |             static_cast<state_gaussian_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   70 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~     
   71 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
   72 |         );
      |         ~                                  
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:161)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:161)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:161)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:161)>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:332:70:   required from ‘void adelie_core::solver::screen(StateType&, ValueType, bool, int) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; ValueType = double]’
  332 |             vec_value_t weights_sorted_sub = vec_value_t::NullaryExpr(
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~^
  333 |                 subset_size,
      |                 ~~~~~~~~~~~~                                          
  334 |                 [&](auto i) { return weights[order[G-subset_size+i]]; }
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  335 |             );
      |             ~                                                         
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:406:23:   required from ‘adelie_core::solver::gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:195&, auto:196, auto:197, auto:198)> [with auto:195 = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:196 = double; auto:197 = bool; auto:198 = int]’
  406 |         solver::screen(
      |         ~~~~~~~~~~~~~~^
  407 |             state,
      |             ~~~~~~     
  408 |             lmda,
      |             ~~~~~      
  409 |             kkt_passed,
      |             ~~~~~~~~~~~
  410 |             n_new_active
      |             ~~~~~~~~~~~~
  411 |         );
      |         ~              
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:185&, auto:186&)>; UpdateLossNullType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:187&)>; UpdateInvarianceType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:188&, const auto:189&, auto:190)>; UpdateSolutionsType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:191&, auto:192&, auto:193)>; EarlyExitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:194&)>; ScreenType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:195&, auto:196, auto:197, auto:198)>; FitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:199&, auto:200)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:423:23:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; TidyType = solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  423 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  424 |         state,
      |         ~~~~~~         
  425 |         pb,
      |         ~~~            
  426 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  427 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  428 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  429 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  430 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  431 |         screen_f,
      |         ~~~~~~~~~      
  432 |         fit_f
      |         ~~~~~          
  433 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:449:10:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  449 |     solve(
      |     ~~~~~^
  450 |         state,
      |         ~~~~~~
  451 |         pb,
      |         ~~~
  452 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  453 |         [](){},
      |         ~~~~~~~
  454 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  455 |     );
      |     ~     
rcpp_solver.cpp:68:43:   required from here
   68 |         ad::solver::gaussian::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   69 |             static_cast<state_gaussian_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   70 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~     
   71 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
   72 |         );
      |         ~                                  
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:214:23:   required from ‘void adelie_core::solver::glm::naive::update_loss_null(StateType&, GlmType&, BufferPackType&) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>]’
  214 |         beta0 = (hess * (irls_y + eta - offsets)).sum() / hess_sum;
      |                 ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:569:29:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)> [with auto:218 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:219 = adelie_core::glm::GlmBase<double>; auto:220 = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  569 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:493:48:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:204&)> [with auto:204 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  493 |         if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack);
      |                              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:491:23:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  491 |     update_loss_null_f(state);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:563:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  563 |     solve(
      |     ~~~~~^
  564 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  565 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  566 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  567 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  568 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  569 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  570 |         },
      |         ~~
  571 |         [](){},
      |         ~~~~~~~
  572 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  573 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:218:21:   required from ‘void adelie_core::solver::glm::naive::update_loss_null(StateType&, GlmType&, BufferPackType&) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>]’
  218 |         eta = beta0 + offsets;
      |               ~~~~~~^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:569:29:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)> [with auto:218 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:219 = adelie_core::glm::GlmBase<double>; auto:220 = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  569 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:493:48:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:204&)> [with auto:204 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  493 |         if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack);
      |                              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:491:23:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  491 |     update_loss_null_f(state);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:563:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  563 |     solve(
      |     ~~~~~^
  564 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  565 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  566 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  567 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  568 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  569 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  570 |         },
      |         ~~
  571 |         [](){},
      |         ~~~~~~~
  572 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  573 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.ipp:34:17:   required from ‘void adelie_core::glm::GlmBase<ValueType>::inv_hessian_gradient(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) [with ValueType = double; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   34 |         hess.max(0) +
      |         ~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:337:33:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  337 |         glm.inv_hessian_gradient(eta, resid, hess, irls_resid);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:526:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)> [with auto:216 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:217 = double]’
  526 |         return fit(
      |                ~~~^
  527 |             state,
      |             ~~~~~~ 
  528 |             glm,
      |             ~~~~   
  529 |             buffer_pack,
      |             ~~~~~~~~~~~~
  530 |             lmda,
      |             ~~~~~  
  531 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  532 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:563:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  563 |     solve(
      |     ~~~~~^
  564 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  565 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  566 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  567 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  568 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  569 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  570 |         },
      |         ~~
  571 |         [](){},
      |         ~~~~~~~
  572 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  573 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from ‘struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:337:33:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  337 |         glm.inv_hessian_gradient(eta, resid, hess, irls_resid);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:526:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)> [with auto:216 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:217 = double]’
  526 |         return fit(
      |                ~~~^
  527 |             state,
      |             ~~~~~~ 
  528 |             glm,
      |             ~~~~   
  529 |             buffer_pack,
      |             ~~~~~~~~~~~~
  530 |             lmda,
      |             ~~~~~  
  531 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  532 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:563:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  563 |     solve(
      |     ~~~~~^
  564 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  565 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  566 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  567 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  568 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  569 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  570 |         },
      |         ~~
  571 |         [](){},
      |         ~~~~~~~
  572 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  573 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.ipp:35:39:   required from ‘void adelie_core::glm::GlmBase<ValueType>::inv_hessian_gradient(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) [with ValueType = double; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   35 |         value_t(Configs::hessian_min) * (hess <= 0).template cast<value_t>()
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:337:33:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  337 |         glm.inv_hessian_gradient(eta, resid, hess, irls_resid);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:526:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)> [with auto:216 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:217 = double]’
  526 |         return fit(
      |                ~~~^
  527 |             state,
      |             ~~~~~~ 
  528 |             glm,
      |             ~~~~   
  529 |             buffer_pack,
      |             ~~~~~~~~~~~~
  530 |             lmda,
      |             ~~~~~  
  531 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  532 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:563:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  563 |     solve(
      |     ~~~~~^
  564 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  565 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  566 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  567 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  568 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  569 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  570 |         },
      |         ~~
  571 |         [](){},
      |         ~~~~~~~
  572 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  573 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.ipp:34:21:   required from ‘void adelie_core::glm::GlmBase<ValueType>::inv_hessian_gradient(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) [with ValueType = double; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   33 |     inv_hess_grad = grad / (
      |                            ~
   34 |         hess.max(0) +
      |         ~~~~~~~~~~~~^
   35 |         value_t(Configs::hessian_min) * (hess <= 0).template cast<value_t>()
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |     );
      |     ~                
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:337:33:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  337 |         glm.inv_hessian_gradient(eta, resid, hess, irls_resid);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:526:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)> [with auto:216 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:217 = double]’
  526 |         return fit(
      |                ~~~^
  527 |             state,
      |             ~~~~~~ 
  528 |             glm,
      |             ~~~~   
  529 |             buffer_pack,
      |             ~~~~~~~~~~~~
  530 |             lmda,
      |             ~~~~~  
  531 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  532 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:563:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  563 |     solve(
      |     ~~~~~^
  564 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  565 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  566 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  567 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  568 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  569 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  570 |         },
      |         ~~
  571 |         [](){},
      |         ~~~~~~~
  572 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  573 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.ipp:33:26:   required from ‘void adelie_core::glm::GlmBase<ValueType>::inv_hessian_gradient(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) [with ValueType = double; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   33 |     inv_hess_grad = grad / (
      |                     ~~~~~^~~
   34 |         hess.max(0) +
      |         ~~~~~~~~~~~~~     
   35 |         value_t(Configs::hessian_min) * (hess <= 0).template cast<value_t>()
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   36 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:337:33:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  337 |         glm.inv_hessian_gradient(eta, resid, hess, irls_resid);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:526:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)> [with auto:216 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:217 = double]’
  526 |         return fit(
      |                ~~~^
  527 |             state,
      |             ~~~~~~ 
  528 |             glm,
      |             ~~~~   
  529 |             buffer_pack,
      |             ~~~~~~~~~~~~
  530 |             lmda,
      |             ~~~~~  
  531 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  532 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:563:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  563 |     solve(
      |     ~~~~~^
  564 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  565 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  566 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  567 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  568 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  569 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  570 |         },
      |         ~~
  571 |         [](){},
      |         ~~~~~~~
  572 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  573 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:158)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:158)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:158)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:158)>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:314:59:   required from ‘void adelie_core::solver::screen(StateType&, ValueType, bool, int) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; ValueType = double]’
  314 |             vec_value_t weights = vec_value_t::NullaryExpr(
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^
  315 |                 G, [&](auto i) {
      |                 ~~~~~~~~~~~~~~~~                           
  316 |                     return (penalty[i] <= 0) ?
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  317 |                         alpha * lmda : std::min(abs_grad[i] / penalty[i], alpha * lmda);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  318 |                 }
      |                 ~                                          
  319 |             );
      |             ~                                              
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:517:23:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)> [with auto:212 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:213 = double; auto:214 = bool; auto:215 = int]’
  517 |         solver::screen(
      |         ~~~~~~~~~~~~~~^
  518 |             state,
      |             ~~~~~~     
  519 |             lmda,
      |             ~~~~~      
  520 |             kkt_passed,
      |             ~~~~~~~~~~~
  521 |             n_new_active
      |             ~~~~~~~~~~~~
  522 |         );
      |         ~              
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:563:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  563 |     solve(
      |     ~~~~~^
  564 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  565 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  566 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  567 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  568 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  569 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  570 |         },
      |         ~~
  571 |         [](){},
      |         ~~~~~~~
  572 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  573 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:161)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:161)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:161)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:161)>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:332:70:   required from ‘void adelie_core::solver::screen(StateType&, ValueType, bool, int) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; ValueType = double]’
  332 |             vec_value_t weights_sorted_sub = vec_value_t::NullaryExpr(
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~^
  333 |                 subset_size,
      |                 ~~~~~~~~~~~~                                          
  334 |                 [&](auto i) { return weights[order[G-subset_size+i]]; }
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  335 |             );
      |             ~                                                         
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:517:23:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)> [with auto:212 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:213 = double; auto:214 = bool; auto:215 = int]’
  517 |         solver::screen(
      |         ~~~~~~~~~~~~~~^
  518 |             state,
      |             ~~~~~~     
  519 |             lmda,
      |             ~~~~~      
  520 |             kkt_passed,
      |             ~~~~~~~~~~~
  521 |             n_new_active
      |             ~~~~~~~~~~~~
  522 |         );
      |         ~              
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:563:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  563 |     solve(
      |     ~~~~~^
  564 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  565 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  566 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  567 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  568 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  569 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  570 |         },
      |         ~~
  571 |         [](){},
      |         ~~~~~~~
  572 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  573 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:153:23:   required from ‘void adelie_core::solver::multiglm::naive::update_loss_null(StateType&, GlmType&, BufferPackType&) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = GlmWrap<adelie_core::glm::GlmMultiBase<double> >; BufferPackType = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  153 |         irls_y += eta - offsets;
      |                   ~~~~^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:240:46:   required from ‘adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)> [with auto:221 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:222 = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; auto:223 = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  240 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:493:48:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:204&)> [with auto:204 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  493 |         if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack);
      |                              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:491:23:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  491 |     update_loss_null_f(state);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:233:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  233 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  234 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |         glm_wrap,
      |         ~~~~~~~~~     
  236 |         pb,
      |         ~~~           
  237 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  238 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  239 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |         },
      |         ~~            
  242 |         tidy,
      |         ~~~~~         
  243 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  244 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:164:31:   required from ‘void adelie_core::solver::multiglm::naive::update_loss_null(StateType&, GlmType&, BufferPackType&) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = GlmWrap<adelie_core::glm::GlmMultiBase<double> >; BufferPackType = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  164 |             (irls_weights_arr * irls_y_arr).colwise().sum() /
      |             ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:240:46:   required from ‘adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)> [with auto:221 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:222 = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; auto:223 = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  240 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:493:48:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:204&)> [with auto:204 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  493 |         if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack);
      |                              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:491:23:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  491 |     update_loss_null_f(state);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:233:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  233 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  234 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |         glm_wrap,
      |         ~~~~~~~~~     
  236 |         pb,
      |         ~~~           
  237 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  238 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  239 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |         },
      |         ~~            
  242 |         tidy,
      |         ~~~~~         
  243 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  244 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 0> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:164:58:   required from ‘void adelie_core::solver::multiglm::naive::update_loss_null(StateType&, GlmType&, BufferPackType&) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = GlmWrap<adelie_core::glm::GlmMultiBase<double> >; BufferPackType = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  164 |             (irls_weights_arr * irls_y_arr).colwise().sum() /
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:240:46:   required from ‘adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)> [with auto:221 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:222 = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; auto:223 = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  240 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:493:48:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:204&)> [with auto:204 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  493 |         if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack);
      |                              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:491:23:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  491 |     update_loss_null_f(state);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:233:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  233 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  234 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |         glm_wrap,
      |         ~~~~~~~~~     
  236 |         pb,
      |         ~~~           
  237 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  238 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  239 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |         },
      |         ~~            
  242 |         tidy,
      |         ~~~~~         
  243 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  244 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::PartialReduxExpr<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 0> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:165:43:   required from ‘void adelie_core::solver::multiglm::naive::update_loss_null(StateType&, GlmType&, BufferPackType&) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = GlmWrap<adelie_core::glm::GlmMultiBase<double> >; BufferPackType = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  165 |             irls_weights_arr.colwise().sum()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:240:46:   required from ‘adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)> [with auto:221 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:222 = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; auto:223 = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  240 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:493:48:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:204&)> [with auto:204 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  493 |         if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack);
      |                              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:491:23:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  491 |     update_loss_null_f(state);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:233:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  233 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  234 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |         glm_wrap,
      |         ~~~~~~~~~     
  236 |         pb,
      |         ~~~           
  237 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  238 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  239 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |         },
      |         ~~            
  242 |         tidy,
      |         ~~~~~         
  243 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  244 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 0>, const Eigen::PartialReduxExpr<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 0>, const Eigen::PartialReduxExpr<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 0>, const Eigen::PartialReduxExpr<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 0>, const Eigen::PartialReduxExpr<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 0>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 0>, const Eigen::PartialReduxExpr<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 0> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:164:61:   required from ‘void adelie_core::solver::multiglm::naive::update_loss_null(StateType&, GlmType&, BufferPackType&) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = GlmWrap<adelie_core::glm::GlmMultiBase<double> >; BufferPackType = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  163 |         beta0 = (
      |                 ~                                            
  164 |             (irls_weights_arr * irls_y_arr).colwise().sum() /
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  165 |             irls_weights_arr.colwise().sum()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                 
  166 |         );
      |         ~                                                    
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:240:46:   required from ‘adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)> [with auto:221 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:222 = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; auto:223 = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  240 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:493:48:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:204&)> [with auto:204 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  493 |         if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack);
      |                              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:491:23:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  491 |     update_loss_null_f(state);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:233:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  233 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  234 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |         glm_wrap,
      |         ~~~~~~~~~     
  236 |         pb,
      |         ~~~           
  237 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  238 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  239 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |         },
      |         ~~            
  242 |         tidy,
      |         ~~~~~         
  243 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  244 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::Array<double, 1, -1, 1, 1, -1>, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::Array<double, 1, -1, 1, 1, -1>, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Replicate<Eigen::Array<double, 1, -1, 1, 1, -1>, -1, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from ‘class Eigen::Replicate<Eigen::Array<double, 1, -1, 1, 1, -1>, -1, 1>’
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate<Eigen::Array<double, 1, -1, 1, 1, -1>, -1, 1> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate<Eigen::Array<double, 1, -1, 1, 1, -1>, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:240:46:   required from ‘adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)> [with auto:221 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:222 = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; auto:223 = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  240 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:493:48:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:204&)> [with auto:204 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  493 |         if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack);
      |                              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:491:23:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  491 |     update_loss_null_f(state);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:233:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  233 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  234 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |         glm_wrap,
      |         ~~~~~~~~~     
  236 |         pb,
      |         ~~~           
  237 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  238 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  239 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |         },
      |         ~~            
  242 |         tidy,
      |         ~~~~~         
  243 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  244 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate<Eigen::Array<double, 1, -1, 1, 1, -1>, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate<Eigen::Array<double, 1, -1, 1, 1, -1>, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate<Eigen::Array<double, 1, -1, 1, 1, -1>, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate<Eigen::Array<double, 1, -1, 1, 1, -1>, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate<Eigen::Array<double, 1, -1, 1, 1, -1>, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:176:41:   required from ‘void adelie_core::solver::multiglm::naive::update_loss_null(StateType&, GlmType&, BufferPackType&) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = GlmWrap<adelie_core::glm::GlmMultiBase<double> >; BufferPackType = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  176 |         eta_arr = offsets_arr.rowwise() + beta0;
      |                   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:240:46:   required from ‘adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)> [with auto:221 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:222 = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; auto:223 = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  240 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:493:48:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:204&)> [with auto:204 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  493 |         if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack);
      |                              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:491:23:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  491 |     update_loss_null_f(state);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:233:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  233 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  234 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |         glm_wrap,
      |         ~~~~~~~~~     
  236 |         pb,
      |         ~~~           
  237 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  238 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  239 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |         },
      |         ~~            
  242 |         tidy,
      |         ~~~~~         
  243 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  244 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:128:39:   required from ‘void adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::var(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) const [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  128 |         const auto sum_w = weights.sum();
      |                            ~~~~~~~~~~~^~
rcpp_matrix.h:733:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:70:52:   required from ‘void adelie_core::solver::update_abs_grad(StateType&, ValueType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; ValueType = double]’
   70 |             abs_grad[i] = common_expr.matrix().norm();
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:416:24:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)> [with auto:171 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:172 = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>; auto:173 = double]’
  416 |         update_abs_grad(state, lmda);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:512:28:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  512 |         update_invariance_f(state, state_gaussian_pin, large_lmda);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:74:62:   required from ‘void adelie_core::solver::update_abs_grad(StateType&, ValueType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; ValueType = double]’
   74 |             abs_grad[i] = (common_expr - vbuff).matrix().norm();
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:416:24:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)> [with auto:171 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:172 = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>; auto:173 = double]’
  416 |         update_abs_grad(state, lmda);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:512:28:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  512 |         update_invariance_f(state, state_gaussian_pin, large_lmda);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:92:34:   required from ‘void adelie_core::solver::update_abs_grad(StateType&, ValueType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; ValueType = double]’
   92 |                 v_k.matrix().norm()
      |                 ~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:416:24:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)> [with auto:171 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:172 = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>; auto:173 = double]’
  416 |         update_abs_grad(state, lmda);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:512:28:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  512 |         update_invariance_f(state, state_gaussian_pin, large_lmda);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:160:26:   required from ‘void adelie_core::solver::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  160 |     update_screen_derived(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  161 |         *state.X,
      |         ~~~~~~~~~         
  162 |         state.X_means,
      |         ~~~~~~~~~~~~~~    
  163 |         state.weights_sqrt,
      |         ~~~~~~~~~~~~~~~~~~~
  164 |         state.groups,
      |         ~~~~~~~~~~~~~     
  165 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  166 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~ 
  167 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  168 |         old_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  169 |         new_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  170 |         state.intercept,
      |         ~~~~~~~~~~~~~~~~  
  171 |         state.n_threads,
      |         ~~~~~~~~~~~~~~~~  
  172 |         state.screen_X_means,
      |         ~~~~~~~~~~~~~~~~~~~~~
  173 |         state.screen_transforms,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  174 |         state.screen_vars
      |         ~~~~~~~~~~~~~~~~~ 
  175 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:412:30:   required from ‘adelie_core::solver::gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:195&, auto:196, auto:197, auto:198)> [with auto:195 = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:196 = double; auto:197 = bool; auto:198 = int]’
  412 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:185&, auto:186&)>; UpdateLossNullType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:187&)>; UpdateInvarianceType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:188&, const auto:189&, auto:190)>; UpdateSolutionsType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:191&, auto:192&, auto:193)>; EarlyExitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:194&)>; ScreenType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:195&, auto:196, auto:197, auto:198)>; FitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:199&, auto:200)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:423:23:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; TidyType = solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  423 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  424 |         state,
      |         ~~~~~~         
  425 |         pb,
      |         ~~~            
  426 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  427 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  428 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  429 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  430 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  431 |         screen_f,
      |         ~~~~~~~~~      
  432 |         fit_f
      |         ~~~~~          
  433 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:449:10:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  449 |     solve(
      |     ~~~~~^
  450 |         state,
      |         ~~~~~~
  451 |         pb,
      |         ~~~
  452 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  453 |         [](){},
      |         ~~~~~~~
  454 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  455 |     );
      |     ~     
rcpp_solver.cpp:68:43:   required from here
   68 |         ad::solver::gaussian::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   69 |             static_cast<state_gaussian_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   70 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~     
   71 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
   72 |         );
      |         ~                                  
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:337:33:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  337 |         glm.inv_hessian_gradient(eta, resid, hess, irls_resid);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:526:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)> [with auto:216 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:217 = double]’
  526 |         return fit(
      |                ~~~^
  527 |             state,
      |             ~~~~~~ 
  528 |             glm,
      |             ~~~~   
  529 |             buffer_pack,
      |             ~~~~~~~~~~~~
  530 |             lmda,
      |             ~~~~~  
  531 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  532 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:233:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  233 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  234 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |         glm_wrap,
      |         ~~~~~~~~~     
  236 |         pb,
      |         ~~~           
  237 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  238 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  239 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |         },
      |         ~~            
  242 |         tidy,
      |         ~~~~~         
  243 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  244 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:337:33:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  337 |         glm.inv_hessian_gradient(eta, resid, hess, irls_resid);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:526:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)> [with auto:216 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:217 = double]’
  526 |         return fit(
      |                ~~~^
  527 |             state,
      |             ~~~~~~ 
  528 |             glm,
      |             ~~~~   
  529 |             buffer_pack,
      |             ~~~~~~~~~~~~
  530 |             lmda,
      |             ~~~~~  
  531 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  532 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:233:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  233 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  234 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |         glm_wrap,
      |         ~~~~~~~~~     
  236 |         pb,
      |         ~~~           
  237 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  238 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  239 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |         },
      |         ~~            
  242 |         tidy,
      |         ~~~~~         
  243 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  244 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.ipp:34:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:337:33:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  337 |         glm.inv_hessian_gradient(eta, resid, hess, irls_resid);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:526:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)> [with auto:216 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:217 = double]’
  526 |         return fit(
      |                ~~~^
  527 |             state,
      |             ~~~~~~ 
  528 |             glm,
      |             ~~~~   
  529 |             buffer_pack,
      |             ~~~~~~~~~~~~
  530 |             lmda,
      |             ~~~~~  
  531 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  532 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:233:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  233 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  234 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |         glm_wrap,
      |         ~~~~~~~~~     
  236 |         pb,
      |         ~~~           
  237 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  238 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  239 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |         },
      |         ~~            
  242 |         tidy,
      |         ~~~~~         
  243 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  244 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from ‘struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > >’
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:337:33:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  337 |         glm.inv_hessian_gradient(eta, resid, hess, irls_resid);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:526:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)> [with auto:216 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:217 = double]’
  526 |         return fit(
      |                ~~~^
  527 |             state,
      |             ~~~~~~ 
  528 |             glm,
      |             ~~~~   
  529 |             buffer_pack,
      |             ~~~~~~~~~~~~
  530 |             lmda,
      |             ~~~~~  
  531 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  532 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:233:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  233 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  234 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |         glm_wrap,
      |         ~~~~~~~~~     
  236 |         pb,
      |         ~~~           
  237 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  238 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  239 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |         },
      |         ~~            
  242 |         tidy,
      |         ~~~~~         
  243 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  244 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:337:33:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  337 |         glm.inv_hessian_gradient(eta, resid, hess, irls_resid);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:526:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)> [with auto:216 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:217 = double]’
  526 |         return fit(
      |                ~~~^
  527 |             state,
      |             ~~~~~~ 
  528 |             glm,
      |             ~~~~   
  529 |             buffer_pack,
      |             ~~~~~~~~~~~~
  530 |             lmda,
      |             ~~~~~  
  531 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  532 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:233:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  233 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  234 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |         glm_wrap,
      |         ~~~~~~~~~     
  236 |         pb,
      |         ~~~           
  237 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  238 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  239 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |         },
      |         ~~            
  242 |         tidy,
      |         ~~~~~         
  243 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  244 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.ipp:35:39:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:337:33:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  337 |         glm.inv_hessian_gradient(eta, resid, hess, irls_resid);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:526:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)> [with auto:216 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:217 = double]’
  526 |         return fit(
      |                ~~~^
  527 |             state,
      |             ~~~~~~ 
  528 |             glm,
      |             ~~~~   
  529 |             buffer_pack,
      |             ~~~~~~~~~~~~
  530 |             lmda,
      |             ~~~~~  
  531 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  532 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:233:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  233 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  234 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |         glm_wrap,
      |         ~~~~~~~~~     
  236 |         pb,
      |         ~~~           
  237 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  238 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  239 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |         },
      |         ~~            
  242 |         tidy,
      |         ~~~~~         
  243 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  244 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.ipp:34:21:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:337:33:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  337 |         glm.inv_hessian_gradient(eta, resid, hess, irls_resid);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:526:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)> [with auto:216 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:217 = double]’
  526 |         return fit(
      |                ~~~^
  527 |             state,
      |             ~~~~~~ 
  528 |             glm,
      |             ~~~~   
  529 |             buffer_pack,
      |             ~~~~~~~~~~~~
  530 |             lmda,
      |             ~~~~~  
  531 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  532 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:233:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  233 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  234 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |         glm_wrap,
      |         ~~~~~~~~~     
  236 |         pb,
      |         ~~~           
  237 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  238 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  239 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |         },
      |         ~~            
  242 |         tidy,
      |         ~~~~~         
  243 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  244 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.ipp:33:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:337:33:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  337 |         glm.inv_hessian_gradient(eta, resid, hess, irls_resid);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:526:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)> [with auto:216 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:217 = double]’
  526 |         return fit(
      |                ~~~^
  527 |             state,
      |             ~~~~~~ 
  528 |             glm,
      |             ~~~~   
  529 |             buffer_pack,
      |             ~~~~~~~~~~~~
  530 |             lmda,
      |             ~~~~~  
  531 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  532 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:233:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  233 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  234 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |         glm_wrap,
      |         ~~~~~~~~~     
  236 |         pb,
      |         ~~~           
  237 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  238 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  239 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |         },
      |         ~~            
  242 |         tidy,
      |         ~~~~~         
  243 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  244 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:337:33:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  337 |         glm.inv_hessian_gradient(eta, resid, hess, irls_resid);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:526:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)> [with auto:216 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:217 = double]’
  526 |         return fit(
      |                ~~~^
  527 |             state,
      |             ~~~~~~ 
  528 |             glm,
      |             ~~~~   
  529 |             buffer_pack,
      |             ~~~~~~~~~~~~
  530 |             lmda,
      |             ~~~~~  
  531 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  532 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:233:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  233 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  234 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |         glm_wrap,
      |         ~~~~~~~~~     
  236 |         pb,
      |         ~~~           
  237 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  238 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  239 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |         },
      |         ~~            
  242 |         tidy,
      |         ~~~~~         
  243 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  244 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:485:32:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve_active(StateType&&, size_t, BufferPackType&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; BufferPackType = GaussianPinCovBufferPack<double, int>; UpdateCoefficientG0Type = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:124, value_t&, value_t, value_t, value_t, value_t, value_t, auto:125&)>; UpdateCoefficientG1Type = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:126, auto:127&, const auto:128&, const auto:129&, auto:130, auto:131, const auto:132&, auto:133&)>; CUIType = std::function<void()>; size_t = long unsigned int]’
  485 |         ab_diff_view_curr = sb - ab_diff_view_curr;
      |                             ~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:606:21:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:337:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:338:26:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:338:29:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:345:59:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:353:36:   required from ‘void adelie_core::solver::gaussian::pin::cov::coordinate_descent(StateType&&, Iter, Iter, size_t, ValueType&, BufferPackType&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, UpdateScreenGradType, AdditionalStepType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; Iter = adelie_core::util::counting_iterator<long unsigned int>; ValueType = double; BufferPackType = GaussianPinCovBufferPack<double, int>; UpdateCoefficientG0Type = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:124, value_t&, value_t, value_t, value_t, value_t, value_t, auto:125&)>; UpdateCoefficientG1Type = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:126, auto:127&, const auto:128&, const auto:129&, auto:130, auto:131, const auto:132&, auto:133&)>; UpdateScreenGradType = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:124, value_t&, value_t, value_t, value_t, value_t, value_t, auto:125&)>, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:126, auto:127&, const auto:128&, const auto:129&, auto:130, auto:131, const auto:132&, auto:133&)>, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:124, value_t&, value_t, value_t, value_t, value_t, value_t, auto:125&)>, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:126, auto:127&, const auto:128&, const auto:129&, auto:130, auto:131, const auto:132&, auto:133&)>, std::function<void()>)::<lambda(auto:118&, auto:119&, const auto:120&, const auto:121&)>; AdditionalStepType = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:124, value_t&, value_t, value_t, value_t, value_t, value_t, auto:125&)>, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:126, auto:127&, const auto:128&, const auto:129&, auto:130, auto:131, const auto:132&, auto:133&)>, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:124, value_t&, value_t, value_t, value_t, value_t, value_t, auto:125&)>, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:126, auto:127&, const auto:128&, const auto:129&, auto:130, auto:131, const auto:132&, auto:133&)>, std::function<void()>)::<lambda(auto:117)>; size_t = long unsigned int]’
  353 |             gk_transformed += A_kk * ak_old_transformed;
      |                               ~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:630:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:340:101:   required by substitution of ‘template<class Derived> Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >::match<Derived>::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’
  340 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::ScalarTypeMatch),Derived>::type* = 0)
      |                                                                                                     ^~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:762:30:   required from ‘adelie_core::solver::gaussian::pin::cov::solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:126, auto:127&, const auto:128&, const auto:129&, auto:130, auto:131, const auto:132&, auto:133&)> [with auto:126 = long unsigned int; auto:127 = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; auto:128 = Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>; auto:129 = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; auto:130 = double; auto:131 = double; auto:132 = Eigen::Matrix<double, -1, -1, 1, -1, -1>; auto:133 = Eigen::Array<long unsigned int, 1, -1, 1, 1, -1>]’
  762 |             constraint->solve(ak, A_kk, gk, l1, l2, Q, buffer);
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:354:35:   required from ‘void adelie_core::solver::gaussian::pin::cov::coordinate_descent(StateType&&, Iter, Iter, size_t, ValueType&, BufferPackType&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, UpdateScreenGradType, AdditionalStepType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; Iter = adelie_core::util::counting_iterator<long unsigned int>; ValueType = double; BufferPackType = GaussianPinCovBufferPack<double, int>; UpdateCoefficientG0Type = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:124, value_t&, value_t, value_t, value_t, value_t, value_t, auto:125&)>; UpdateCoefficientG1Type = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:126, auto:127&, const auto:128&, const auto:129&, auto:130, auto:131, const auto:132&, auto:133&)>; UpdateScreenGradType = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:124, value_t&, value_t, value_t, value_t, value_t, value_t, auto:125&)>, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:126, auto:127&, const auto:128&, const auto:129&, auto:130, auto:131, const auto:132&, auto:133&)>, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:124, value_t&, value_t, value_t, value_t, value_t, value_t, auto:125&)>, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:126, auto:127&, const auto:128&, const auto:129&, auto:130, auto:131, const auto:132&, auto:133&)>, std::function<void()>)::<lambda(auto:118&, auto:119&, const auto:120&, const auto:121&)>; AdditionalStepType = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:124, value_t&, value_t, value_t, value_t, value_t, value_t, auto:125&)>, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:126, auto:127&, const auto:128&, const auto:129&, auto:130, auto:131, const auto:132&, auto:133&)>, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:124, value_t&, value_t, value_t, value_t, value_t, value_t, auto:125&)>, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:126, auto:127&, const auto:128&, const auto:129&, auto:130, auto:131, const auto:132&, auto:133&)>, std::function<void()>)::<lambda(auto:117)>; size_t = long unsigned int]’
  354 |             update_coordinate_g1_f(
      |             ~~~~~~~~~~~~~~~~~~~~~~^
  355 |                 ss_idx, ak_transformed, A_kk, gk_transformed, l1 * pk, l2 * pk, Vk, constraint_buffer
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  356 |             );
      |             ~                      
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:630:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:359:37:   required from ‘void adelie_core::solver::gaussian::pin::cov::coordinate_descent(StateType&&, Iter, Iter, size_t, ValueType&, BufferPackType&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, UpdateScreenGradType, AdditionalStepType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; Iter = adelie_core::util::counting_iterator<long unsigned int>; ValueType = double; BufferPackType = GaussianPinCovBufferPack<double, int>; UpdateCoefficientG0Type = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:124, value_t&, value_t, value_t, value_t, value_t, value_t, auto:125&)>; UpdateCoefficientG1Type = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:126, auto:127&, const auto:128&, const auto:129&, auto:130, auto:131, const auto:132&, auto:133&)>; UpdateScreenGradType = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:124, value_t&, value_t, value_t, value_t, value_t, value_t, auto:125&)>, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:126, auto:127&, const auto:128&, const auto:129&, auto:130, auto:131, const auto:132&, auto:133&)>, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:124, value_t&, value_t, value_t, value_t, value_t, value_t, auto:125&)>, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:126, auto:127&, const auto:128&, const auto:129&, auto:130, auto:131, const auto:132&, auto:133&)>, std::function<void()>)::<lambda(auto:118&, auto:119&, const auto:120&, const auto:121&)>; AdditionalStepType = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:124, value_t&, value_t, value_t, value_t, value_t, value_t, auto:125&)>, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:126, auto:127&, const auto:128&, const auto:129&, auto:130, auto:131, const auto:132&, auto:133&)>, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:124, value_t&, value_t, value_t, value_t, value_t, value_t, auto:125&)>, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:126, auto:127&, const auto:128&, const auto:129&, auto:130, auto:131, const auto:132&, auto:133&)>, std::function<void()>)::<lambda(auto:117)>; size_t = long unsigned int]’
  359 |             if ((ak_old_transformed - ak_transformed).matrix().norm() <=
      |                 ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:630:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:359:61:   required from ‘void adelie_core::solver::gaussian::pin::cov::coordinate_descent(StateType&&, Iter, Iter, size_t, ValueType&, BufferPackType&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, UpdateScreenGradType, AdditionalStepType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; Iter = adelie_core::util::counting_iterator<long unsigned int>; ValueType = double; BufferPackType = GaussianPinCovBufferPack<double, int>; UpdateCoefficientG0Type = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:124, value_t&, value_t, value_t, value_t, value_t, value_t, auto:125&)>; UpdateCoefficientG1Type = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:126, auto:127&, const auto:128&, const auto:129&, auto:130, auto:131, const auto:132&, auto:133&)>; UpdateScreenGradType = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:124, value_t&, value_t, value_t, value_t, value_t, value_t, auto:125&)>, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:126, auto:127&, const auto:128&, const auto:129&, auto:130, auto:131, const auto:132&, auto:133&)>, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:124, value_t&, value_t, value_t, value_t, value_t, value_t, auto:125&)>, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:126, auto:127&, const auto:128&, const auto:129&, auto:130, auto:131, const auto:132&, auto:133&)>, std::function<void()>)::<lambda(auto:118&, auto:119&, const auto:120&, const auto:121&)>; AdditionalStepType = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:124, value_t&, value_t, value_t, value_t, value_t, value_t, auto:125&)>, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:126, auto:127&, const auto:128&, const auto:129&, auto:130, auto:131, const auto:132&, auto:133&)>, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:124, value_t&, value_t, value_t, value_t, value_t, value_t, auto:125&)>, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:126, auto:127&, const auto:128&, const auto:129&, auto:130, auto:131, const auto:132&, auto:133&)>, std::function<void()>)::<lambda(auto:117)>; size_t = long unsigned int]’
  359 |             if ((ak_old_transformed - ak_transformed).matrix().norm() <=
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:630:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:370:65:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:370:51:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:374:22:   required from ‘void adelie_core::solver::gaussian::pin::cov::coordinate_descent(StateType&&, Iter, Iter, size_t, ValueType&, BufferPackType&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, UpdateScreenGradType, AdditionalStepType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; Iter = adelie_core::util::counting_iterator<long unsigned int>; ValueType = double; BufferPackType = GaussianPinCovBufferPack<double, int>; UpdateCoefficientG0Type = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:124, value_t&, value_t, value_t, value_t, value_t, value_t, auto:125&)>; UpdateCoefficientG1Type = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:126, auto:127&, const auto:128&, const auto:129&, auto:130, auto:131, const auto:132&, auto:133&)>; UpdateScreenGradType = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:124, value_t&, value_t, value_t, value_t, value_t, value_t, auto:125&)>, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:126, auto:127&, const auto:128&, const auto:129&, auto:130, auto:131, const auto:132&, auto:133&)>, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:124, value_t&, value_t, value_t, value_t, value_t, value_t, auto:125&)>, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:126, auto:127&, const auto:128&, const auto:129&, auto:130, auto:131, const auto:132&, auto:133&)>, std::function<void()>)::<lambda(auto:118&, auto:119&, const auto:120&, const auto:121&)>; AdditionalStepType = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:124, value_t&, value_t, value_t, value_t, value_t, value_t, auto:125&)>, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:126, auto:127&, const auto:128&, const auto:129&, auto:130, auto:131, const auto:132&, auto:133&)>, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:124, value_t&, value_t, value_t, value_t, value_t, value_t, auto:125&)>, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:126, auto:127&, const auto:128&, const auto:129&, auto:130, auto:131, const auto:132&, auto:133&)>, std::function<void()>)::<lambda(auto:117)>; size_t = long unsigned int]’
  374 |             del = ak - ak_old;
      |                   ~~~^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:630:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:353:10:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  350 |     const auto screen_time = Eigen::Map<const util::rowvec_type<double>>(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  351 |         state_gaussian_pin_cov.benchmark_screen.data(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  352 |         state_gaussian_pin_cov.benchmark_screen.size()
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  353 |     ).sum();
      |     ~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:34:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  453 |   RealScalar scale = mat.cwiseAbs().maxCoeff();
      |                      ~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:160:26:   required from ‘void adelie_core::solver::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  160 |     update_screen_derived(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  161 |         *state.X,
      |         ~~~~~~~~~         
  162 |         state.X_means,
      |         ~~~~~~~~~~~~~~    
  163 |         state.weights_sqrt,
      |         ~~~~~~~~~~~~~~~~~~~
  164 |         state.groups,
      |         ~~~~~~~~~~~~~     
  165 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  166 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~ 
  167 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  168 |         old_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  169 |         new_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  170 |         state.intercept,
      |         ~~~~~~~~~~~~~~~~  
  171 |         state.n_threads,
      |         ~~~~~~~~~~~~~~~~  
  172 |         state.screen_X_means,
      |         ~~~~~~~~~~~~~~~~~~~~~
  173 |         state.screen_transforms,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  174 |         state.screen_vars
      |         ~~~~~~~~~~~~~~~~~ 
  175 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:412:30:   required from ‘adelie_core::solver::gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:195&, auto:196, auto:197, auto:198)> [with auto:195 = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:196 = double; auto:197 = bool; auto:198 = int]’
  412 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:185&, auto:186&)>; UpdateLossNullType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:187&)>; UpdateInvarianceType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:188&, const auto:189&, auto:190)>; UpdateSolutionsType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:191&, auto:192&, auto:193)>; EarlyExitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:194&)>; ScreenType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:195&, auto:196, auto:197, auto:198)>; FitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:199&, auto:200)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:423:23:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; TidyType = solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  423 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  424 |         state,
      |         ~~~~~~         
  425 |         pb,
      |         ~~~            
  426 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  427 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  428 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  429 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  430 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  431 |         screen_f,
      |         ~~~~~~~~~      
  432 |         fit_f
      |         ~~~~~          
  433 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:449:10:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  449 |     solve(
      |     ~~~~~^
  450 |         state,
      |         ~~~~~~
  451 |         pb,
      |         ~~~
  452 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  453 |         [](){},
      |         ~~~~~~~
  454 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  455 |     );
      |     ~     
rcpp_solver.cpp:68:43:   required from here
   68 |         ad::solver::gaussian::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   69 |             static_cast<state_gaussian_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   70 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~     
   71 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
   72 |         );
      |         ~                                  
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:160:26:   required from ‘void adelie_core::solver::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  160 |     update_screen_derived(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  161 |         *state.X,
      |         ~~~~~~~~~         
  162 |         state.X_means,
      |         ~~~~~~~~~~~~~~    
  163 |         state.weights_sqrt,
      |         ~~~~~~~~~~~~~~~~~~~
  164 |         state.groups,
      |         ~~~~~~~~~~~~~     
  165 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  166 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~ 
  167 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  168 |         old_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  169 |         new_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  170 |         state.intercept,
      |         ~~~~~~~~~~~~~~~~  
  171 |         state.n_threads,
      |         ~~~~~~~~~~~~~~~~  
  172 |         state.screen_X_means,
      |         ~~~~~~~~~~~~~~~~~~~~~
  173 |         state.screen_transforms,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  174 |         state.screen_vars
      |         ~~~~~~~~~~~~~~~~~ 
  175 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:412:30:   required from ‘adelie_core::solver::gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:195&, auto:196, auto:197, auto:198)> [with auto:195 = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:196 = double; auto:197 = bool; auto:198 = int]’
  412 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:185&, auto:186&)>; UpdateLossNullType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:187&)>; UpdateInvarianceType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:188&, const auto:189&, auto:190)>; UpdateSolutionsType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:191&, auto:192&, auto:193)>; EarlyExitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:194&)>; ScreenType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:195&, auto:196, auto:197, auto:198)>; FitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:199&, auto:200)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:423:23:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; TidyType = solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  423 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  424 |         state,
      |         ~~~~~~         
  425 |         pb,
      |         ~~~            
  426 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  427 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  428 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  429 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  430 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  431 |         screen_f,
      |         ~~~~~~~~~      
  432 |         fit_f
      |         ~~~~~          
  433 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:449:10:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  449 |     solve(
      |     ~~~~~^
  450 |         state,
      |         ~~~~~~
  451 |         pb,
      |         ~~~
  452 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  453 |         [](){},
      |         ~~~~~~~
  454 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  455 |     );
      |     ~     
rcpp_solver.cpp:68:43:   required from here
   68 |         ad::solver::gaussian::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   69 |             static_cast<state_gaussian_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   70 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~     
   71 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
   72 |         );
      |         ~                                  
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:108:54:   required from ‘void adelie_core::solver::gaussian::pin::update_convergence_measure(ValueType&, const DelType&, const VarType&) [with ValueType = double; DelType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; VarType = Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>]’
  108 |     const auto convg_measure_curr = (var * del.square()).sum() / del.size();
      |                                            ~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:365:39:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:108:42:   required from ‘void adelie_core::solver::gaussian::pin::update_convergence_measure(ValueType&, const DelType&, const VarType&) [with ValueType = double; DelType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; VarType = Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>]’
  108 |     const auto convg_measure_curr = (var * del.square()).sum() / del.size();
      |                                     ~~~~~^~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:365:39:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:133:22:   required from ‘void adelie_core::solver::gaussian::pin::update_rsq(ValueType&, const DelType&, const XVarType&, const GradType&) [with ValueType = double; DelType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; XVarType = Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>; GradType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>]’
  133 |     rsq += (del * (2 * grad - del * x_var)).sum();
      |                    ~~^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:367:23:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:133:35:   required from ‘void adelie_core::solver::gaussian::pin::update_rsq(ValueType&, const DelType&, const XVarType&, const GradType&) [with ValueType = double; DelType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; XVarType = Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>; GradType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>]’
  133 |     rsq += (del * (2 * grad - del * x_var)).sum();
      |                               ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:367:23:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:133:29:   required from ‘void adelie_core::solver::gaussian::pin::update_rsq(ValueType&, const DelType&, const XVarType&, const GradType&) [with ValueType = double; DelType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; XVarType = Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>; GradType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>]’
  133 |     rsq += (del * (2 * grad - del * x_var)).sum();
      |                   ~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:367:23:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:133:17:   required from ‘void adelie_core::solver::gaussian::pin::update_rsq(ValueType&, const DelType&, const XVarType&, const GradType&) [with ValueType = double; DelType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; XVarType = Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>; GradType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>]’
  133 |     rsq += (del * (2 * grad - del * x_var)).sum();
      |            ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:367:23:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::SparseVector<double, 1, int>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Map<const Eigen::SparseVector<double, 1, int>, 0, Eigen::Stride<0, 0> > > >’
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/eigen/map_sparsevector.hpp:75:9:   required from ‘struct Eigen::internal::evaluator<Eigen::Map<const Eigen::SparseVector<double, 1, int>, 0, Eigen::Stride<0, 0> > >’
   75 |  struct evaluator<Map<const SparseVector<MatScalar,MatOptions,MatIndex>, Options, StrideType> >
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h:445:22:   required from ‘static void Eigen::internal::sparse_vector_assign_selector<Dest, Src, 1>::run(Dest&, const Src&) [with Dest = Eigen::SparseVector<double, 1, int>; Src = Eigen::Map<const Eigen::SparseVector<double, 1, int>, 0, Eigen::Stride<0, 0> >]’
  445 |     SrcEvaluatorType srcEval(src);
      |                      ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h:319:78:   required from ‘Eigen::SparseVector<_Scalar, _Flags, _StorageIndex>& Eigen::SparseVector<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Map<const Eigen::SparseVector<double, 1, int>, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Options = 1; _StorageIndex = int]’
  319 |       internal::sparse_vector_assign_selector<SparseVector,OtherDerived>::run(tmp,other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h:273:13:   required from ‘Eigen::SparseVector<_Scalar, _Flags, _StorageIndex>::SparseVector(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Map<const Eigen::SparseVector<double, 1, int>, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Options = 1; _StorageIndex = int]’
  273 |       *this = other.derived();
      |       ~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:222:12:   required from ‘typename StateType::sp_vec_value_t adelie_core::solver::sparsify_dual(const StateType&, VecIndexType&, VecValueType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; VecIndexType = Eigen::Array<int, 1, -1, 1, 1, -1>; VecValueType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename StateType::sp_vec_value_t = Eigen::SparseVector<double, 1, int>]’
  222 |     return dual_map;
      |            ^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:225:37:   required from ‘void adelie_core::solver::gaussian::cov::update_solutions(StateType&, StateGaussianPinType&, ValueType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; StateGaussianPinType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>; ValueType = double]’
  225 |     duals.emplace_back(sparsify_dual(state, dual_indices, dual_values));
      |                        ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:419:25:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)> [with auto:174 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:175 = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>; auto:176 = double]’
  419 |         update_solutions(
      |         ~~~~~~~~~~~~~~~~^
  420 |             state,
      |             ~~~~~~       
  421 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  422 |             lmda
      |             ~~~~         
  423 |         );
      |         ~                
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:573:35:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  573 |                 update_solutions_f(
      |                 ~~~~~~~~~~~~~~~~~~^
  574 |                     state,
      |                     ~~~~~~         
  575 |                     state_gaussian_pin,
      |                     ~~~~~~~~~~~~~~~~~~~
  576 |                     large_lmda_path[i]
      |                     ~~~~~~~~~~~~~~~~~~
  577 |                 );
      |                 ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:398:143:   required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator/=(const typename Eigen::internal::traits<T>::Scalar&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1; TriangularViewType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  398 |     TriangularViewType&  operator/=(const typename internal::traits<MatrixType>::Scalar& other) { return *this = derived().nestedExpression() / other; }
      |                                                                                                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:455:40:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67:   required from ‘Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Matrix<double, -1, 1>; Scalar = double]’
   20 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:463:14:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  463 |   m_eivalues *= scale;
      |   ~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:120:33:   required from ‘void adelie_core::solver::gaussian::pin::naive::coordinate_descent(StateType&&, Iter, Iter, size_t, ValueType&, BufferPackType&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, AdditionalStepType) [with StateType = adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&; Iter = adelie_core::util::counting_iterator<long unsigned int>; ValueType = double; BufferPackType = adelie_core::solver::gaussian::pin::GaussianPinBufferPack<double, int>; UpdateCoefficientG0Type = solve<adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:137, value_t&, value_t, value_t, value_t, value_t, value_t, auto:138&)>; UpdateCoefficientG1Type = solve<adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:139, auto:140&, const auto:141&, const auto:142&, auto:143, auto:144, const auto:145&, auto:146&)>; AdditionalStepType = solve<adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:137, value_t&, value_t, value_t, value_t, value_t, value_t, auto:138&)>, solve<adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:139, auto:140&, const auto:141&, const auto:142&, auto:143, auto:144, const auto:145&, auto:146&)>, std::function<void()> >(adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:137, value_t&, value_t, value_t, value_t, value_t, value_t, auto:138&)>, solve<adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:139, auto:140&, const auto:141&, const auto:142&, auto:143, auto:144, const auto:145&, auto:146&)>, std::function<void()>)::<lambda(auto:134)>; size_t = long unsigned int]’
  120 |                 gk -= resid_sum * Xk_mean;
      |                       ~~~~~~~~~~^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:331:31:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:325:39:   required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  325 |         state_gaussian_pin_naive.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:415:19:   required from ‘adelie_core::solver::gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:199&, auto:200)> [with auto:199 = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:200 = double]’
  415 |         return fit(
      |                ~~~^
  416 |             state,
      |             ~~~~~~ 
  417 |             buffer_pack,
      |             ~~~~~~~~~~~~
  418 |             lmda,
      |             ~~~~~  
  419 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  420 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:185&, auto:186&)>; UpdateLossNullType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:187&)>; UpdateInvarianceType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:188&, const auto:189&, auto:190)>; UpdateSolutionsType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:191&, auto:192&, auto:193)>; EarlyExitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:194&)>; ScreenType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:195&, auto:196, auto:197, auto:198)>; FitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:199&, auto:200)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:423:23:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; TidyType = solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  423 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  424 |         state,
      |         ~~~~~~         
  425 |         pb,
      |         ~~~            
  426 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  427 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  428 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  429 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  430 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  431 |         screen_f,
      |         ~~~~~~~~~      
  432 |         fit_f
      |         ~~~~~          
  433 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:449:10:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  449 |     solve(
      |     ~~~~~^
  450 |         state,
      |         ~~~~~~
  451 |         pb,
      |         ~~~
  452 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  453 |         [](){},
      |         ~~~~~~~
  454 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  455 |     );
      |     ~     
rcpp_solver.cpp:68:43:   required from here
   68 |         ad::solver::gaussian::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   69 |             static_cast<state_gaussian_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   70 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~     
   71 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
   72 |         );
      |         ~                                  
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:161:26:   required from ‘void adelie_core::solver::gaussian::pin::naive::coordinate_descent(StateType&&, Iter, Iter, size_t, ValueType&, BufferPackType&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, AdditionalStepType) [with StateType = adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&; Iter = adelie_core::util::counting_iterator<long unsigned int>; ValueType = double; BufferPackType = adelie_core::solver::gaussian::pin::GaussianPinBufferPack<double, int>; UpdateCoefficientG0Type = solve<adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:137, value_t&, value_t, value_t, value_t, value_t, value_t, auto:138&)>; UpdateCoefficientG1Type = solve<adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:139, auto:140&, const auto:141&, const auto:142&, auto:143, auto:144, const auto:145&, auto:146&)>; AdditionalStepType = solve<adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:137, value_t&, value_t, value_t, value_t, value_t, value_t, auto:138&)>, solve<adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:139, auto:140&, const auto:141&, const auto:142&, auto:143, auto:144, const auto:145&, auto:146&)>, std::function<void()> >(adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:137, value_t&, value_t, value_t, value_t, value_t, value_t, auto:138&)>, solve<adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:139, auto:140&, const auto:141&, const auto:142&, auto:143, auto:144, const auto:145&, auto:146&)>, std::function<void()>)::<lambda(auto:134)>; size_t = long unsigned int]’
  161 |             del = ak_old - ak;
      |                   ~~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:331:31:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:325:39:   required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  325 |         state_gaussian_pin_naive.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:415:19:   required from ‘adelie_core::solver::gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:199&, auto:200)> [with auto:199 = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:200 = double]’
  415 |         return fit(
      |                ~~~^
  416 |             state,
      |             ~~~~~~ 
  417 |             buffer_pack,
      |             ~~~~~~~~~~~~
  418 |             lmda,
      |             ~~~~~  
  419 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  420 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:185&, auto:186&)>; UpdateLossNullType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:187&)>; UpdateInvarianceType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:188&, const auto:189&, auto:190)>; UpdateSolutionsType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:191&, auto:192&, auto:193)>; EarlyExitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:194&)>; ScreenType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:195&, auto:196, auto:197, auto:198)>; FitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:199&, auto:200)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:423:23:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; TidyType = solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  423 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  424 |         state,
      |         ~~~~~~         
  425 |         pb,
      |         ~~~            
  426 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  427 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  428 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  429 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  430 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  431 |         screen_f,
      |         ~~~~~~~~~      
  432 |         fit_f
      |         ~~~~~          
  433 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:449:10:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  449 |     solve(
      |     ~~~~~^
  450 |         state,
      |         ~~~~~~
  451 |         pb,
      |         ~~~
  452 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  453 |         [](){},
      |         ~~~~~~~
  454 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  455 |     );
      |     ~     
rcpp_solver.cpp:68:43:   required from here
   68 |         ad::solver::gaussian::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   69 |             static_cast<state_gaussian_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   70 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~     
   71 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
   72 |         );
      |         ~                                  
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Array<double, 1, -1, 1, 1, -1>; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Array<double, 1, -1, 1, 1, -1>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Array<double, 1, -1, 1, 1, -1> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:340:39:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  340 |         const auto hess_sum = hess.sum();
      |                               ~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:526:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)> [with auto:216 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:217 = double]’
  526 |         return fit(
      |                ~~~^
  527 |             state,
      |             ~~~~~~ 
  528 |             glm,
      |             ~~~~   
  529 |             buffer_pack,
      |             ~~~~~~~~~~~~
  530 |             lmda,
      |             ~~~~~  
  531 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  532 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:563:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  563 |     solve(
      |     ~~~~~^
  564 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  565 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  566 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  567 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  568 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  569 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  570 |         },
      |         ~~
  571 |         [](){},
      |         ~~~~~~~
  572 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  573 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:344:56:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  344 |         const auto y_mean = (irls_weights * irls_y).sum();
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:526:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)> [with auto:216 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:217 = double]’
  526 |         return fit(
      |                ~~~^
  527 |             state,
      |             ~~~~~~ 
  528 |             glm,
      |             ~~~~   
  529 |             buffer_pack,
      |             ~~~~~~~~~~~~
  530 |             lmda,
      |             ~~~~~  
  531 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  532 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:563:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  563 |     solve(
      |     ~~~~~^
  564 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  565 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  566 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  567 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  568 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  569 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  570 |         },
      |         ~~
  571 |         [](){},
      |         ~~~~~~~
  572 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  573 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:345:64:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  345 |         const auto y_var = (irls_weights * irls_y.square()).sum() - intercept * y_mean * y_mean;
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:526:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)> [with auto:216 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:217 = double]’
  526 |         return fit(
      |                ~~~^
  527 |             state,
      |             ~~~~~~ 
  528 |             glm,
      |             ~~~~   
  529 |             buffer_pack,
      |             ~~~~~~~~~~~~
  530 |             lmda,
      |             ~~~~~  
  531 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  532 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:563:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  563 |     solve(
      |     ~~~~~^
  564 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  565 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  566 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  567 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  568 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  569 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  570 |         },
      |         ~~
  571 |         [](){},
      |         ~~~~~~~
  572 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  573 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:449:67:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  449 |         if (std::abs(((resid - resid_prev) * (eta - eta_prev)).sum()) <= irls_tol) {
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:526:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)> [with auto:216 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:217 = double]’
  526 |         return fit(
      |                ~~~^
  527 |             state,
      |             ~~~~~~ 
  528 |             glm,
      |             ~~~~   
  529 |             buffer_pack,
      |             ~~~~~~~~~~~~
  530 |             lmda,
      |             ~~~~~  
  531 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  532 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:563:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  563 |     solve(
      |     ~~~~~^
  564 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  565 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  566 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  567 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  568 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  569 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  570 |         },
      |         ~~
  571 |         [](){},
      |         ~~~~~~~
  572 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  573 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:735:21:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::setOnes(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’
  735 |   return setConstant(Scalar(1));
      |          ~~~~~~~~~~~^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:440:22:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:450:24:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:451:40:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:160:26:   required from ‘void adelie_core::solver::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  160 |     update_screen_derived(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  161 |         *state.X,
      |         ~~~~~~~~~         
  162 |         state.X_means,
      |         ~~~~~~~~~~~~~~    
  163 |         state.weights_sqrt,
      |         ~~~~~~~~~~~~~~~~~~~
  164 |         state.groups,
      |         ~~~~~~~~~~~~~     
  165 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  166 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~ 
  167 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  168 |         old_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  169 |         new_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  170 |         state.intercept,
      |         ~~~~~~~~~~~~~~~~  
  171 |         state.n_threads,
      |         ~~~~~~~~~~~~~~~~  
  172 |         state.screen_X_means,
      |         ~~~~~~~~~~~~~~~~~~~~~
  173 |         state.screen_transforms,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  174 |         state.screen_vars
      |         ~~~~~~~~~~~~~~~~~ 
  175 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:412:30:   required from ‘adelie_core::solver::gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:195&, auto:196, auto:197, auto:198)> [with auto:195 = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:196 = double; auto:197 = bool; auto:198 = int]’
  412 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:185&, auto:186&)>; UpdateLossNullType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:187&)>; UpdateInvarianceType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:188&, const auto:189&, auto:190)>; UpdateSolutionsType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:191&, auto:192&, auto:193)>; EarlyExitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:194&)>; ScreenType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:195&, auto:196, auto:197, auto:198)>; FitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:199&, auto:200)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:423:23:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; TidyType = solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  423 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  424 |         state,
      |         ~~~~~~         
  425 |         pb,
      |         ~~~            
  426 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  427 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  428 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  429 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  430 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  431 |         screen_f,
      |         ~~~~~~~~~      
  432 |         fit_f
      |         ~~~~~          
  433 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:449:10:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  449 |     solve(
      |     ~~~~~^
  450 |         state,
      |         ~~~~~~
  451 |         pb,
      |         ~~~
  452 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  453 |         [](){},
      |         ~~~~~~~
  454 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  455 |     );
      |     ~     
rcpp_solver.cpp:68:43:   required from here
   68 |         ad::solver::gaussian::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   69 |             static_cast<state_gaussian_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   70 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~     
   71 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
   72 |         );
      |         ~                                  
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:160:26:   required from ‘void adelie_core::solver::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  160 |     update_screen_derived(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  161 |         *state.X,
      |         ~~~~~~~~~         
  162 |         state.X_means,
      |         ~~~~~~~~~~~~~~    
  163 |         state.weights_sqrt,
      |         ~~~~~~~~~~~~~~~~~~~
  164 |         state.groups,
      |         ~~~~~~~~~~~~~     
  165 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  166 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~ 
  167 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  168 |         old_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  169 |         new_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  170 |         state.intercept,
      |         ~~~~~~~~~~~~~~~~  
  171 |         state.n_threads,
      |         ~~~~~~~~~~~~~~~~  
  172 |         state.screen_X_means,
      |         ~~~~~~~~~~~~~~~~~~~~~
  173 |         state.screen_transforms,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  174 |         state.screen_vars
      |         ~~~~~~~~~~~~~~~~~ 
  175 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:412:30:   required from ‘adelie_core::solver::gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:195&, auto:196, auto:197, auto:198)> [with auto:195 = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:196 = double; auto:197 = bool; auto:198 = int]’
  412 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:185&, auto:186&)>; UpdateLossNullType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:187&)>; UpdateInvarianceType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:188&, const auto:189&, auto:190)>; UpdateSolutionsType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:191&, auto:192&, auto:193)>; EarlyExitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:194&)>; ScreenType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:195&, auto:196, auto:197, auto:198)>; FitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:199&, auto:200)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:423:23:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; TidyType = solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  423 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  424 |         state,
      |         ~~~~~~         
  425 |         pb,
      |         ~~~            
  426 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  427 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  428 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  429 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  430 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  431 |         screen_f,
      |         ~~~~~~~~~      
  432 |         fit_f
      |         ~~~~~          
  433 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:449:10:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  449 |     solve(
      |     ~~~~~^
  450 |         state,
      |         ~~~~~~
  451 |         pb,
      |         ~~~
  452 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  453 |         [](){},
      |         ~~~~~~~
  454 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  455 |     );
      |     ~     
rcpp_solver.cpp:68:43:   required from here
   68 |         ad::solver::gaussian::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   69 |             static_cast<state_gaussian_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   70 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~     
   71 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
   72 |         );
      |         ~                                  
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:214:54:   required from ‘void adelie_core::solver::glm::naive::update_loss_null(StateType&, GlmType&, BufferPackType&) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>]’
  214 |         beta0 = (hess * (irls_y + eta - offsets)).sum() / hess_sum;
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:569:29:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)> [with auto:218 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:219 = adelie_core::glm::GlmBase<double>; auto:220 = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  569 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:493:48:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:204&)> [with auto:204 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  493 |         if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack);
      |                              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:491:23:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  491 |     update_loss_null_f(state);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:218&, auto:219&, auto:220&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:563:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  563 |     solve(
      |     ~~~~~^
  564 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  565 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  566 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  567 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  568 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  569 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  570 |         },
      |         ~~
  571 |         [](){},
      |         ~~~~~~~
  572 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  573 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:62:31:   required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; ValueType = double; XType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; InitialType = newton_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>; size_t = long unsigned int]’
   62 |     const auto v_l2 = v.matrix().norm();
      |                       ~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:138:23:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:73:20:   required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; ValueType = double; XType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; InitialType = newton_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>; size_t = long unsigned int]’
   73 |         x = v / (L + l2);
      |                 ~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:138:23:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:73:15:   required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; ValueType = double; XType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; InitialType = newton_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>; size_t = long unsigned int]’
   73 |         x = v / (L + l2);
      |             ~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:138:23:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:85:28:   required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; ValueType = double; XType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; InitialType = newton_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>; size_t = long unsigned int]’
   85 |         x = (v * vbuffer2).square();
      |             ~~~~~~~~~~~~~~~^~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:138:23:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:85:11:   required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; ValueType = double; XType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; InitialType = newton_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>; size_t = long unsigned int]’
   85 |         x = (v * vbuffer2).square();
      |         ~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:138:23:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:91:11:   required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; ValueType = double; XType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; InitialType = newton_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>; size_t = long unsigned int]’
   89 |         const auto dfh = -(
      |                           ~
   90 |             x * vbuffer1 * vbuffer2
      |             ~~~~~~~~~~~~~~~~~~~~~~~
   91 |         ).sum() * (1 + sqrt_t) / t;
      |         ~~^~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:138:23:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:84:34:   required from ‘adelie_core::bcd::unconstrained::newton_solver_base<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, newton_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()> >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, newton_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:72)> [with auto:72 = double]’
   84 |         vbuffer2 = 1 / (vbuffer1 * h + l1);
      |                         ~~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/optimization/newton.hpp:51:35:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:84:38:   required from ‘adelie_core::bcd::unconstrained::newton_solver_base<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, newton_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()> >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, newton_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:72)> [with auto:72 = double]’
   84 |         vbuffer2 = 1 / (vbuffer1 * h + l1);
      |                        ~~~~~~~~~~~~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/optimization/newton.hpp:51:35:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:84:22:   required from ‘adelie_core::bcd::unconstrained::newton_solver_base<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, newton_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()> >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, newton_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:72)> [with auto:72 = double]’
   84 |         vbuffer2 = 1 / (vbuffer1 * h + l1);
      |                    ~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/optimization/newton.hpp:51:35:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:109:15:   required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; ValueType = double; XType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; InitialType = newton_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>; size_t = long unsigned int]’
  109 |     x = h * v * vbuffer2;
      |         ~~~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:138:23:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Derived = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:97:33:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Array<double, 1, -1, 1, 1, -1>; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
   97 |         x1.segment(begin, size) = x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:414:22:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)> [with auto:171 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:172 = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>; auto:173 = double]’
  414 |         matrix::dvveq(grad, v - grad, n_threads);
      |         ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:512:28:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  512 |         update_invariance_f(state, state_gaussian_pin, large_lmda);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:70:52:   required from ‘void adelie_core::solver::update_abs_grad(StateType&, ValueType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; ValueType = double]’
   70 |             abs_grad[i] = common_expr.matrix().norm();
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:416:24:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)> [with auto:171 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:172 = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>; auto:173 = double]’
  416 |         update_abs_grad(state, lmda);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:512:28:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  512 |         update_invariance_f(state, state_gaussian_pin, large_lmda);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:74:62:   required from ‘void adelie_core::solver::update_abs_grad(StateType&, ValueType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; ValueType = double]’
   74 |             abs_grad[i] = (common_expr - vbuff).matrix().norm();
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:416:24:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)> [with auto:171 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:172 = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>; auto:173 = double]’
  416 |         update_abs_grad(state, lmda);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:512:28:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  512 |         update_invariance_f(state, state_gaussian_pin, large_lmda);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:92:34:   required from ‘void adelie_core::solver::update_abs_grad(StateType&, ValueType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; ValueType = double]’
   92 |                 v_k.matrix().norm()
      |                 ~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:416:24:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)> [with auto:171 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:172 = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>; auto:173 = double]’
  416 |         update_abs_grad(state, lmda);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:512:28:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  512 |         update_invariance_f(state, state_gaussian_pin, large_lmda);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  370 |                                   * (conj(h) * matA.col(i).tail(remainingSize)));
      |                                     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:181:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator-=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Derived = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>]’
  181 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:67:33:   required from ‘void adelie_core::matrix::dvsubi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Array<double, 1, -1, 1, 1, -1>; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’
   67 |         x1.segment(begin, size) -= x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:390:27:   required from ‘adelie_core::solver::gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:188&, const auto:189&, auto:190)> [with auto:188 = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:189 = adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>; auto:190 = double]’
  390 |             matrix::dvsubi(grad, resid_sum * X_means, n_threads);
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:512:28:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:185&, auto:186&)>; UpdateLossNullType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:187&)>; UpdateInvarianceType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:188&, const auto:189&, auto:190)>; UpdateSolutionsType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:191&, auto:192&, auto:193)>; EarlyExitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:194&)>; ScreenType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:195&, auto:196, auto:197, auto:198)>; FitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:199&, auto:200)>]’
  512 |         update_invariance_f(state, state_gaussian_pin, large_lmda);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:423:23:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; TidyType = solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  423 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  424 |         state,
      |         ~~~~~~         
  425 |         pb,
      |         ~~~            
  426 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  427 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  428 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  429 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  430 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  431 |         screen_f,
      |         ~~~~~~~~~      
  432 |         fit_f
      |         ~~~~~          
  433 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:449:10:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  449 |     solve(
      |     ~~~~~^
  450 |         state,
      |         ~~~~~~
  451 |         pb,
      |         ~~~
  452 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  453 |         [](){},
      |         ~~~~~~~
  454 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  455 |     );
      |     ~     
rcpp_solver.cpp:68:43:   required from here
   68 |         ad::solver::gaussian::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   69 |             static_cast<state_gaussian_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   70 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~     
   71 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
   72 |         );
      |         ~                                  
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:29:114:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:160:26:   required from ‘void adelie_core::solver::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  160 |     update_screen_derived(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  161 |         *state.X,
      |         ~~~~~~~~~         
  162 |         state.X_means,
      |         ~~~~~~~~~~~~~~    
  163 |         state.weights_sqrt,
      |         ~~~~~~~~~~~~~~~~~~~
  164 |         state.groups,
      |         ~~~~~~~~~~~~~     
  165 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  166 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~ 
  167 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  168 |         old_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  169 |         new_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  170 |         state.intercept,
      |         ~~~~~~~~~~~~~~~~  
  171 |         state.n_threads,
      |         ~~~~~~~~~~~~~~~~  
  172 |         state.screen_X_means,
      |         ~~~~~~~~~~~~~~~~~~~~~
  173 |         state.screen_transforms,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  174 |         state.screen_vars
      |         ~~~~~~~~~~~~~~~~~ 
  175 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:412:30:   required from ‘adelie_core::solver::gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:195&, auto:196, auto:197, auto:198)> [with auto:195 = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:196 = double; auto:197 = bool; auto:198 = int]’
  412 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:185&, auto:186&)>; UpdateLossNullType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:187&)>; UpdateInvarianceType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:188&, const auto:189&, auto:190)>; UpdateSolutionsType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:191&, auto:192&, auto:193)>; EarlyExitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:194&)>; ScreenType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:195&, auto:196, auto:197, auto:198)>; FitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:199&, auto:200)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:423:23:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; TidyType = solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  423 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  424 |         state,
      |         ~~~~~~         
  425 |         pb,
      |         ~~~            
  426 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  427 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  428 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  429 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  430 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  431 |         screen_f,
      |         ~~~~~~~~~      
  432 |         fit_f
      |         ~~~~~          
  433 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:449:10:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  449 |     solve(
      |     ~~~~~^
  450 |         state,
      |         ~~~~~~
  451 |         pb,
      |         ~~~
  452 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  453 |         [](){},
      |         ~~~~~~~
  454 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  455 |     );
      |     ~     
rcpp_solver.cpp:68:43:   required from here
   68 |         ad::solver::gaussian::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   69 |             static_cast<state_gaussian_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   70 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~     
   71 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
   72 |         );
      |         ~                                  
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:33:36:   required from ‘static void Eigen::selfadjoint_rank1_update<Scalar, Index, 0, UpLo, ConjLhs, ConjRhs>::run(Index, Scalar*, Index, const Scalar*, const Scalar*, const Scalar&) [with Scalar = double; Index = long int; int UpLo = 1; bool ConjLhs = false; bool ConjRhs = false]’
   33 |           += (alpha * cj(vecY[i])) * ConjLhsType(OtherMap(vecX+(UpLo==Lower ? i : 0),UpLo==Lower ? size-i : (i+1)));
      |              ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:78:16:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:160:26:   required from ‘void adelie_core::solver::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  160 |     update_screen_derived(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  161 |         *state.X,
      |         ~~~~~~~~~         
  162 |         state.X_means,
      |         ~~~~~~~~~~~~~~    
  163 |         state.weights_sqrt,
      |         ~~~~~~~~~~~~~~~~~~~
  164 |         state.groups,
      |         ~~~~~~~~~~~~~     
  165 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  166 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~ 
  167 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  168 |         old_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  169 |         new_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  170 |         state.intercept,
      |         ~~~~~~~~~~~~~~~~  
  171 |         state.n_threads,
      |         ~~~~~~~~~~~~~~~~  
  172 |         state.screen_X_means,
      |         ~~~~~~~~~~~~~~~~~~~~~
  173 |         state.screen_transforms,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  174 |         state.screen_vars
      |         ~~~~~~~~~~~~~~~~~ 
  175 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:412:30:   required from ‘adelie_core::solver::gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:195&, auto:196, auto:197, auto:198)> [with auto:195 = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:196 = double; auto:197 = bool; auto:198 = int]’
  412 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:185&, auto:186&)>; UpdateLossNullType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:187&)>; UpdateInvarianceType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:188&, const auto:189&, auto:190)>; UpdateSolutionsType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:191&, auto:192&, auto:193)>; EarlyExitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:194&)>; ScreenType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:195&, auto:196, auto:197, auto:198)>; FitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:199&, auto:200)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:423:23:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; TidyType = solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  423 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  424 |         state,
      |         ~~~~~~         
  425 |         pb,
      |         ~~~            
  426 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  427 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  428 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  429 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  430 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  431 |         screen_f,
      |         ~~~~~~~~~      
  432 |         fit_f
      |         ~~~~~          
  433 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:449:10:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  449 |     solve(
      |     ~~~~~^
  450 |         state,
      |         ~~~~~~
  451 |         pb,
      |         ~~~
  452 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  453 |         [](){},
      |         ~~~~~~~
  454 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  455 |     );
      |     ~     
rcpp_solver.cpp:68:43:   required from here
   68 |         ad::solver::gaussian::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   69 |             static_cast<state_gaussian_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   70 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~     
   71 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
   72 |         );
      |         ~                                  
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7:   required from ‘Eigen::MapBase<Derived, 1>::ScalarWithConstIfNotLvalue& Eigen::MapBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long int]’
   15 |       EIGEN_STATIC_ASSERT((int(internal::evaluator<Derived>::Flags) & LinearAccessBit) || Derived::IsVectorAtCompileTime, \
      |                                                              ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:25:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  367 |     matA.col(i).coeffRef(i+1) = 1;
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; VectorY = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; OtherScalar = double]’
  475 |     EIGEN_PLAIN_ENUM_MIN(evaluator<VectorX>::Alignment, evaluator<VectorY>::Alignment),
      |                                              ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40:   required from ‘void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Eigen::Index = long int]’
  315 |   internal::apply_rotation_in_the_plane(x, y, j.transpose());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24:   required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’
  895 |       q.applyOnTheRight(k,k+1,rot);
      |       ~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87:   required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’
  548 |     internal::tridiagonal_qr_step<MatrixType::Flags&RowMajorBit ? RowMajor : ColMajor>(diag.data(), subdiag.data(), start, end, computeEigenvectors ? eivec.data() : (Scalar*)0, n);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  460 |   m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   79 |     CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
      |                                                   ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   required from ‘void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  123 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:323:14:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  323 |   this->visit(minVisitor);
      |   ~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:496:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  496 |       return minCoeff<PropagateFast>(index);
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:35:   required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’
  563 |       diag.segment(i,n-i).minCoeff(&k);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:108:61:   required from ‘void adelie_core::solver::gaussian::pin::update_convergence_measure(ValueType&, const DelType&, const VarType&) [with ValueType = double; DelType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; VarType = Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>]’
  108 |     const auto convg_measure_curr = (var * del.square()).sum() / del.size();
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:365:39:   required from ‘void adelie_core::solver::gaussian::pin::cov::coordinate_descent(StateType&&, Iter, Iter, size_t, ValueType&, BufferPackType&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, UpdateScreenGradType, AdditionalStepType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; Iter = adelie_core::util::counting_iterator<long unsigned int>; ValueType = double; BufferPackType = GaussianPinCovBufferPack<double, int>; UpdateCoefficientG0Type = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:124, value_t&, value_t, value_t, value_t, value_t, value_t, auto:125&)>; UpdateCoefficientG1Type = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:126, auto:127&, const auto:128&, const auto:129&, auto:130, auto:131, const auto:132&, auto:133&)>; UpdateScreenGradType = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:124, value_t&, value_t, value_t, value_t, value_t, value_t, auto:125&)>, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:126, auto:127&, const auto:128&, const auto:129&, auto:130, auto:131, const auto:132&, auto:133&)>, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:124, value_t&, value_t, value_t, value_t, value_t, value_t, auto:125&)>, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:126, auto:127&, const auto:128&, const auto:129&, auto:130, auto:131, const auto:132&, auto:133&)>, std::function<void()>)::<lambda(auto:118&, auto:119&, const auto:120&, const auto:121&)>; AdditionalStepType = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:124, value_t&, value_t, value_t, value_t, value_t, value_t, auto:125&)>, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:126, auto:127&, const auto:128&, const auto:129&, auto:130, auto:131, const auto:132&, auto:133&)>, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:124, value_t&, value_t, value_t, value_t, value_t, value_t, auto:125&)>, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:126, auto:127&, const auto:128&, const auto:129&, auto:130, auto:131, const auto:132&, auto:133&)>, std::function<void()>)::<lambda(auto:117)>; size_t = long unsigned int]’
  365 |             update_convergence_measure(convg_measure, del_transformed, A_kk);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:630:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:133:48:   required from ‘void adelie_core::solver::gaussian::pin::update_rsq(ValueType&, const DelType&, const XVarType&, const GradType&) [with ValueType = double; DelType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; XVarType = Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>; GradType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>]’
  133 |     rsq += (del * (2 * grad - del * x_var)).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:367:23:   required from ‘void adelie_core::solver::gaussian::pin::cov::coordinate_descent(StateType&&, Iter, Iter, size_t, ValueType&, BufferPackType&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, UpdateScreenGradType, AdditionalStepType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; Iter = adelie_core::util::counting_iterator<long unsigned int>; ValueType = double; BufferPackType = GaussianPinCovBufferPack<double, int>; UpdateCoefficientG0Type = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:124, value_t&, value_t, value_t, value_t, value_t, value_t, auto:125&)>; UpdateCoefficientG1Type = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:126, auto:127&, const auto:128&, const auto:129&, auto:130, auto:131, const auto:132&, auto:133&)>; UpdateScreenGradType = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:124, value_t&, value_t, value_t, value_t, value_t, value_t, auto:125&)>, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:126, auto:127&, const auto:128&, const auto:129&, auto:130, auto:131, const auto:132&, auto:133&)>, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:124, value_t&, value_t, value_t, value_t, value_t, value_t, auto:125&)>, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:126, auto:127&, const auto:128&, const auto:129&, auto:130, auto:131, const auto:132&, auto:133&)>, std::function<void()>)::<lambda(auto:118&, auto:119&, const auto:120&, const auto:121&)>; AdditionalStepType = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:124, value_t&, value_t, value_t, value_t, value_t, value_t, auto:125&)>, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:126, auto:127&, const auto:128&, const auto:129&, auto:130, auto:131, const auto:132&, auto:133&)>, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:124, value_t&, value_t, value_t, value_t, value_t, value_t, auto:125&)>, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:126, auto:127&, const auto:128&, const auto:129&, auto:130, auto:131, const auto:132&, auto:133&)>, std::function<void()>)::<lambda(auto:117)>; size_t = long unsigned int]’
  367 |             update_rsq(rsq, del_transformed, A_kk, gk_transformed);
      |             ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:630:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  453 |   RealScalar scale = mat.cwiseAbs().maxCoeff();
      |                      ~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   93 |     essential = tail / (c0 - beta);
      |                 ~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74:   required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; VType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   34 |                         (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i)
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60:   required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; VType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   35 |                       + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23:   required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; VType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   34 |                         (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i)
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                       + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i);
      |                       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:163:45:   required from ‘void adelie_core::solver::gaussian::pin::naive::coordinate_descent(StateType&&, Iter, Iter, size_t, ValueType&, BufferPackType&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, AdditionalStepType) [with StateType = adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&; Iter = adelie_core::util::counting_iterator<long unsigned int>; ValueType = double; BufferPackType = adelie_core::solver::gaussian::pin::GaussianPinBufferPack<double, int>; UpdateCoefficientG0Type = solve<adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:137, value_t&, value_t, value_t, value_t, value_t, value_t, auto:138&)>; UpdateCoefficientG1Type = solve<adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:139, auto:140&, const auto:141&, const auto:142&, auto:143, auto:144, const auto:145&, auto:146&)>; AdditionalStepType = solve<adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:137, value_t&, value_t, value_t, value_t, value_t, value_t, auto:138&)>, solve<adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:139, auto:140&, const auto:141&, const auto:142&, auto:143, auto:144, const auto:145&, auto:146&)>, std::function<void()> >(adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:137, value_t&, value_t, value_t, value_t, value_t, value_t, auto:138&)>, solve<adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:139, auto:140&, const auto:141&, const auto:142&, auto:143, auto:144, const auto:145&, auto:146&)>, std::function<void()>)::<lambda(auto:134)>; size_t = long unsigned int]’
  163 |             resid_sum += (Xk_mean * del).sum();
      |                          ~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:331:31:   required from ‘void adelie_core::solver::gaussian::pin::naive::solve(StateType&&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, CUIType) [with StateType = adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&; UpdateCoefficientG0Type = solve<adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:137, value_t&, value_t, value_t, value_t, value_t, value_t, auto:138&)>; UpdateCoefficientG1Type = solve<adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, std::function<void()> >(adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, std::function<void()>)::<lambda(auto:139, auto:140&, const auto:141&, const auto:142&, auto:143, auto:144, const auto:145&, auto:146&)>; CUIType = std::function<void()>]’
  331 |             coordinate_descent(
      |             ~~~~~~~~~~~~~~~~~~^
  332 |                 state,
      |                 ~~~~~~         
  333 |                 util::counting_iterator<size_t>(0),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  334 |                 util::counting_iterator<size_t>(screen_set.size()),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  335 |                 l,
      |                 ~~             
  336 |                 convg_measure,
      |                 ~~~~~~~~~~~~~~ 
  337 |                 buffer_pack,
      |                 ~~~~~~~~~~~~   
  338 |                 update_coordinate_g0_f,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
  339 |                 update_coordinate_g1_f,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
  340 |                 add_active_set
      |                 ~~~~~~~~~~~~~~ 
  341 |             );
      |             ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:462:10:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:325:39:   required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  325 |         state_gaussian_pin_naive.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:415:19:   required from ‘adelie_core::solver::gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:199&, auto:200)> [with auto:199 = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:200 = double]’
  415 |         return fit(
      |                ~~~^
  416 |             state,
      |             ~~~~~~ 
  417 |             buffer_pack,
      |             ~~~~~~~~~~~~
  418 |             lmda,
      |             ~~~~~  
  419 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  420 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:185&, auto:186&)>; UpdateLossNullType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:187&)>; UpdateInvarianceType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:188&, const auto:189&, auto:190)>; UpdateSolutionsType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:191&, auto:192&, auto:193)>; EarlyExitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:194&)>; ScreenType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:195&, auto:196, auto:197, auto:198)>; FitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:199&, auto:200)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:423:23:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; TidyType = solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  423 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  424 |         state,
      |         ~~~~~~         
  425 |         pb,
      |         ~~~            
  426 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  427 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  428 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  429 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  430 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  431 |         screen_f,
      |         ~~~~~~~~~      
  432 |         fit_f
      |         ~~~~~          
  433 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:449:10:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  449 |     solve(
      |     ~~~~~^
  450 |         state,
      |         ~~~~~~
  451 |         pb,
      |         ~~~
  452 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  453 |         [](){},
      |         ~~~~~~~
  454 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  455 |     );
      |     ~     
rcpp_solver.cpp:68:43:   required from here
   68 |         ad::solver::gaussian::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   69 |             static_cast<state_gaussian_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   70 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~     
   71 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
   72 |         );
      |         ~                                  
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:359:68:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’
  142 |       EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
      |                                                         ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   79 |   Scalar c0 = coeff(0);
      |               ~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   46 |   makeHouseholder(essentialPart, tau, beta);
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  363 |     matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:86:29:   required from ‘adelie_core::bcd::unconstrained::newton_solver_base<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, newton_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()> >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, newton_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:72)> [with auto:72 = double]’
   86 |         const auto t = x.sum();
      |                        ~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/optimization/newton.hpp:51:35:   required from ‘auto adelie_core::optimization::newton_root_find(InitialType, StepType, ProjectType, ValueType, size_t) [with InitialType = adelie_core::bcd::unconstrained::newton_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>; StepType = adelie_core::bcd::unconstrained::newton_solver_base<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, newton_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()> >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, newton_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:72)>; ProjectType = adelie_core::bcd::unconstrained::newton_solver_base<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, newton_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()> >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, newton_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:73)>; ValueType = double; size_t = long unsigned int]’
   51 |     const auto step_state = step_f(h);
      |                             ~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:99:64:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:91:14:   required from ‘adelie_core::bcd::unconstrained::newton_solver_base<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, newton_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()> >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, newton_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:72)> [with auto:72 = double]’
   89 |         const auto dfh = -(
      |                           ~
   90 |             x * vbuffer1 * vbuffer2
      |             ~~~~~~~~~~~~~~~~~~~~~~~
   91 |         ).sum() * (1 + sqrt_t) / t;
      |         ~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/optimization/newton.hpp:51:35:   required from ‘auto adelie_core::optimization::newton_root_find(InitialType, StepType, ProjectType, ValueType, size_t) [with InitialType = adelie_core::bcd::unconstrained::newton_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>; StepType = adelie_core::bcd::unconstrained::newton_solver_base<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, newton_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()> >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, newton_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:72)>; ProjectType = adelie_core::bcd::unconstrained::newton_solver_base<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, newton_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()> >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, newton_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:73)>; ValueType = double; size_t = long unsigned int]’
   51 |     const auto step_state = step_f(h);
      |                             ~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:99:64:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:62:38:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 2, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 2, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 2, true> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 2, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 2, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 2, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:240:46:   required from ‘adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)> [with auto:221 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:222 = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; auto:223 = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  240 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:493:48:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:204&)> [with auto:204 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  493 |         if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack);
      |                              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:491:23:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  491 |     update_loss_null_f(state);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:233:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  233 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  234 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |         glm_wrap,
      |         ~~~~~~~~~     
  236 |         pb,
      |         ~~~           
  237 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  238 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  239 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |         },
      |         ~~            
  242 |         tidy,
      |         ~~~~~         
  243 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  244 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 2, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 2, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20:   required from ‘PacketType Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Eigen::Index = long int]’
  217 |     PanelEvaluator panel_eval(panel);
      |                    ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:790:80:   required from ‘PacketType Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; BinaryOp = Eigen::internal::scalar_quotient_op<double, double>; Lhs = const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 0>; Rhs = const Eigen::PartialReduxExpr<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs = Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs = Eigen::PartialReduxExpr<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 0>; Eigen::Index = long int]’
  790 |     return m_d.func().packetOp(m_d.lhsImpl.template packet<LoadMode,PacketType>(index),
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Array<double, 1, -1, 1, 1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 0>, const Eigen::PartialReduxExpr<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 0> > >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
  681 |     m_functor.template assignPacket<StoreMode>(&m_dst.coeffRef(index), m_src.template packet<LoadMode,PacketType>(index));
      |                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75:   required from ‘static void Eigen::internal::dense_assignment_loop<Kernel, 3, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 0>, const Eigen::PartialReduxExpr<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 0> > >, Eigen::internal::assign_op<double, double>, 0>]’
  437 |       kernel.template assignPacket<dstAlignment, srcAlignment, PacketType>(index);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:240:46:   required from ‘adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)> [with auto:221 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:222 = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; auto:223 = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  240 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:493:48:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:204&)> [with auto:204 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  493 |         if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack);
      |                              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:491:23:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  491 |     update_loss_null_f(state);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:233:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  233 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  234 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |         glm_wrap,
      |         ~~~~~~~~~     
  236 |         pb,
      |         ~~~           
  237 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  238 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  239 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |         },
      |         ~~            
  242 |         tidy,
      |         ~~~~~         
  243 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  244 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 2, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 2, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 2, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 2, true> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 2, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 2, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:240:46:   required from ‘adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)> [with auto:221 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:222 = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; auto:223 = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  240 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:493:48:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:204&)> [with auto:204 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  493 |         if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack);
      |                              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:491:23:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  491 |     update_loss_null_f(state);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:233:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  233 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  234 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |         glm_wrap,
      |         ~~~~~~~~~     
  236 |         pb,
      |         ~~~           
  237 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  238 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  239 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |         },
      |         ~~            
  242 |         tidy,
      |         ~~~~~         
  243 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  244 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 2, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 2, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20:   required from ‘PacketType Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Eigen::Index = long int]’
  217 |     PanelEvaluator panel_eval(panel);
      |                    ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:791:80:   required from ‘PacketType Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; BinaryOp = Eigen::internal::scalar_quotient_op<double, double>; Lhs = const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 0>; Rhs = const Eigen::PartialReduxExpr<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs = Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs = Eigen::PartialReduxExpr<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 0>; Eigen::Index = long int]’
  791 |                                m_d.rhsImpl.template packet<LoadMode,PacketType>(index));
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Array<double, 1, -1, 1, 1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 0>, const Eigen::PartialReduxExpr<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 0> > >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
  681 |     m_functor.template assignPacket<StoreMode>(&m_dst.coeffRef(index), m_src.template packet<LoadMode,PacketType>(index));
      |                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75:   required from ‘static void Eigen::internal::dense_assignment_loop<Kernel, 3, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 0>, const Eigen::PartialReduxExpr<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 0> > >, Eigen::internal::assign_op<double, double>, 0>]’
  437 |       kernel.template assignPacket<dstAlignment, srcAlignment, PacketType>(index);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:240:46:   required from ‘adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)> [with auto:221 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:222 = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; auto:223 = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  240 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:493:48:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:204&)> [with auto:204 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  493 |         if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack);
      |                              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:491:23:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  491 |     update_loss_null_f(state);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:233:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  233 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  234 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |         glm_wrap,
      |         ~~~~~~~~~     
  236 |         pb,
      |         ~~~           
  237 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  238 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  239 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |         },
      |         ~~            
  242 |         tidy,
      |         ~~~~~         
  243 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  244 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   78 |   RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm();
      |                                                       ~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:240:46:   required from ‘adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)> [with auto:221 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:222 = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; auto:223 = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  240 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:493:48:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:204&)> [with auto:204 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  493 |         if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack);
      |                              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:491:23:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  491 |     update_loss_null_f(state);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:233:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  233 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  234 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |         glm_wrap,
      |         ~~~~~~~~~     
  236 |         pb,
      |         ~~~           
  237 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  238 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  239 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |         },
      |         ~~            
  242 |         tidy,
      |         ~~~~~         
  243 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  244 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:240:46:   required from ‘adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)> [with auto:221 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:222 = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; auto:223 = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  240 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:493:48:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:204&)> [with auto:204 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  493 |         if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack);
      |                              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:491:23:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  491 |     update_loss_null_f(state);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:233:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  233 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  234 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |         glm_wrap,
      |         ~~~~~~~~~     
  236 |         pb,
      |         ~~~           
  237 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  238 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  239 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |         },
      |         ~~            
  242 |         tidy,
      |         ~~~~~         
  243 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  244 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 1, -1>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 1, -1>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:337:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of ‘static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7:   required from ‘static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Scalar = double]’
  227 |     internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  228 |                                                 int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  229 |       (
      |       ^
  230 |         lhs.rows(),                             // size
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |         &lhs.coeffRef(0,0),  lhs.outerStride(), // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |         actualRhsPtr,                           // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |         actualDestPtr,                          // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |         actualAlpha                             // scale factor
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |       );
      |       ~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’
  805 |     selfadjoint_product_impl<typename Lhs::MatrixType,Lhs::Mode,false,Rhs,0,Rhs::IsVectorAtCompileTime>::run(dst, lhs.nestedExpression(), rhs, alpha);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   62 |   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs,  IsRowMajor), ConjugateRhs> pcj0;
      |                                                                                                                         ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   63 |   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1;
      |                                                                                                                         ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, 1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:166:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68:   required from ‘static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’
   89 |     Index alignedStart = (starti) + internal::first_default_aligned(&res[starti], endi-starti);
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7:   required from ‘static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Scalar = double]’
  227 |     internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  228 |                                                 int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  229 |       (
      |       ^
  230 |         lhs.rows(),                             // size
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |         &lhs.coeffRef(0,0),  lhs.outerStride(), // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |         actualRhsPtr,                           // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |         actualDestPtr,                          // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |         actualAlpha                             // scale factor
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |       );
      |       ~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’
  805 |     selfadjoint_product_impl<typename Lhs::MatrixType,Lhs::Mode,false,Rhs,0,Rhs::IsVectorAtCompileTime>::run(dst, lhs.nestedExpression(), rhs, alpha);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  500 |   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
      |                                                            ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  169 |     this->col(0) -= tau * tmp;
      |                     ~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, 5>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  131 |     this->row(0) -= tau * tmp;
      |                     ~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  132 |     bottom.noalias() -= tau * essential * tmp;
      |                         ~~~~^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:333:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
   87 |   typedef typename Traits::LhsPacket LhsPacket;
      |                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; Dest = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; typename Dest::Scalar = double]’
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12:   required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Rhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]’
  206 |     gemv_dense_selector<OnTheRight,OtherStorageOrder,BlasCompatible>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Rhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Scalar = double]’
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Rhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
   91 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; Dest = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; typename Dest::Scalar = double]’
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12:   required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Rhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]’
  206 |     gemv_dense_selector<OnTheRight,OtherStorageOrder,BlasCompatible>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Rhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Scalar = double]’
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Rhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 2>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
   95 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; Dest = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; typename Dest::Scalar = double]’
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12:   required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Rhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]’
  206 |     gemv_dense_selector<OnTheRight,OtherStorageOrder,BlasCompatible>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Rhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Scalar = double]’
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Rhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; Dest = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; typename Dest::Scalar = double]’
  296 |           dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size());
      |                            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:214:47:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:240:46:   required from ‘adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)> [with auto:221 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:222 = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; auto:223 = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  240 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:493:48:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:204&)> [with auto:204 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  493 |         if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack);
      |                              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:491:23:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  491 |     update_loss_null_f(state);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:233:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  233 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  234 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |         glm_wrap,
      |         ~~~~~~~~~     
  236 |         pb,
      |         ~~~           
  237 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  238 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  239 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |         },
      |         ~~            
  242 |         tidy,
      |         ~~~~~         
  243 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  244 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:214:47:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:240:46:   required from ‘adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)> [with auto:221 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:222 = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; auto:223 = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  240 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:493:48:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:204&)> [with auto:204 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  493 |         if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack);
      |                              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:491:23:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:202&, auto:203&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:204&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:205&, const auto:206&, auto:207)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:208&, auto:209&, auto:210)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:211&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:212&, auto:213, auto:214, auto:215)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:216&, auto:217)>]’
  491 |     update_loss_null_f(state);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:535:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:221&, auto:222&, auto:223&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  535 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  536 |         state,
      |         ~~~~~~         
  537 |         pb,
      |         ~~~            
  538 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  539 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  540 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  541 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  542 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  543 |         screen_f,
      |         ~~~~~~~~~      
  544 |         fit_f
      |         ~~~~~          
  545 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:233:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  233 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  234 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |         glm_wrap,
      |         ~~~~~~~~~     
  236 |         pb,
      |         ~~~           
  237 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  238 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  239 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |         },
      |         ~~            
  242 |         tidy,
      |         ~~~~~         
  243 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  244 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33:   required from ‘static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; bool Big = false]’
  846 |     return m = Derived::Identity(m.rows(), m.cols());
      |                ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from ‘Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Matrix<double, -1, -1>]’
  875 |   return internal::setIdentity_impl<Derived>::run(derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:892:21:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |                                             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   73 |           triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1);
      |                                                ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’
  142 |       EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
      |                                                         ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’
  182 |       return coeff(index);
      |              ~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |                                              ~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.ipp:27:38:   required from ‘void adelie_core::state::StateGaussianPinCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType>::solve(std::function<void()>) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int]’
   27 |     solver::gaussian::pin::cov::solve(*this, check_user_interrupt);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:341:37:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  341 |         state_gaussian_pin_cov.solve(check_user_interrupt);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:438:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)> [with auto:182 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:183 = double]’
  438 |         return fit(
      |                ~~~^
  439 |             state,
      |             ~~~~~~ 
  440 |             buffer_pack,
      |             ~~~~~~~~~~~~
  441 |             lmda,
      |             ~~~~~  
  442 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  443 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:509:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  509 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Func = generic_product_impl<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
  280 |     func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:330:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:92:29:   required from ‘struct Eigen::internal::product_triangular_matrix_matrix<double, long int, 5, true, 0, false, 0, false, 0, 1, 0>’
   92 |     SmallPanelWidth   = 2 * EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr),
      |                                                          ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
  357 |   { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); }
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, false, Lhs, true, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’
  194 |             ::run(rhs.transpose(),lhs.transpose(), dstT, alpha);
      |                                   ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 64>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 8, 8, 0, 8, 8>’
  178 | class Matrix
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  150 |     Matrix<Scalar,SmallPanelWidth,SmallPanelWidth,LhsStorageOrder> triangularBuffer(a);
      |                                                                    ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 8>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
  179 |     typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
      |                                                                                 ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  153 |       triangularBuffer.diagonal().setZero();
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
 1080 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  157 |     gebp_kernel<Scalar, Scalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp_kernel;
      |                                                                                                       ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
 1085 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  157 |     gebp_kernel<Scalar, Scalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp_kernel;
      |                                                                                                       ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54:   required from ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’
  341 |       dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize);
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]’
  457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]’
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:175:15:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  175 |       pack_rhs(blockB, rhs.getSubMapper(actual_k2,0), actual_kc, cols);
      |       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
  357 |   { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); }
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  203 |           pack_lhs(blockA, LhsMapper(triangularBuffer.data(), triangularBuffer.outerStride()), actualPanelWidth, actualPanelWidth);
      |           ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
  357 |   { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); }
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  205 |           gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB,
      |           ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  206 |                       actualPanelWidth, actualPanelWidth, cols, alpha,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  207 |                       actualPanelWidth, actual_kc, 0, blockBOffset);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
  357 |   { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); }
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77:   required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’
  137 |           res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  203 |           pack_lhs(blockA, LhsMapper(triangularBuffer.data(), triangularBuffer.outerStride()), actualPanelWidth, actualPanelWidth);
      |           ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; Scalar = double]’
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2256 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2258 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2259 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2298 |               PacketBlock<HalfPacket> kernel_half;
      |                                       ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2304 |               PacketBlock<QuarterPacket> kernel_quarter;
      |                                          ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114:   required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’
  137 |           res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   required from ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’
  327 |     internal::triangular_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  328 |       <Index,Mode,
      |       ~~~~~~~~~~~~
  329 |        LhsScalar, LhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  330 |        RhsScalar, RhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  331 |        RowMajor>
      |        ~~~~~~~~~
  332 |       ::run(actualLhs.rows(),actualLhs.cols(),
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  333 |             actualLhs.data(),actualLhs.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  334 |             actualRhsPtr,1,
      |             ~~~~~~~~~~~~~~~
  335 |             dest.data(),dest.innerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  336 |             actualAlpha);
      |             ~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 43 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 41 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:165)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:435:30:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)> [with auto:178 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:179 = double; auto:180 = bool; auto:181 = int]’
  435 |         update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:617:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:168&, auto:169&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:170&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:171&, const auto:172&, auto:173)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:174&, auto:175&, auto:176)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:177&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:178&, auto:179, auto:180, auto:181)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:182&, auto:183)>]’
  617 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:446:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  446 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  447 |         state,
      |         ~~~~~~         
  448 |         pb,
      |         ~~~            
  449 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  450 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  451 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  452 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  453 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  454 |         screen_f,
      |         ~~~~~~~~~      
  455 |         fit_f
      |         ~~~~~          
  456 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In function ‘Eigen::internal::selfadjoint_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, -1, false>, 17, false, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1, 0, -1, 1> const> const, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, 1, true>, -1, 1, false> const>, 0, true>::run<Eigen::Block<Eigen::Matrix<double, -1, 1, 0, -1, 1>, -1, 1, false> >(Eigen::Block<Eigen::Matrix<double, -1, 1, 0, -1, 1>, -1, 1, false>&, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, -1, false> const&, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1, 0, -1, 1> const> const, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, 1, true>, -1, 1, false> const> const&, double const&)void [clone .isra.0]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: warning: ‘result_66’ may be used uninitialized [-Wmaybe-uninitialized]
  227 |     internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  228 |                                                 int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  229 |       (
      |       ^
  230 |         lhs.rows(),                             // size
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |         &lhs.coeffRef(0,0),  lhs.outerStride(), // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |         actualRhsPtr,                           // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |         actualDestPtr,                          // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |         actualAlpha                             // scale factor
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |       );
      |       ~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:41:6: note: by argument 4 of type ‘const double *’ to ‘Eigen::internal::selfadjoint_matrix_vector_product<double, long, 0, 1, false, false, 0>::run(long, double const*, long, double const*, double*, double)’ declared here
   41 | void selfadjoint_matrix_vector_product<Scalar,Index,StorageOrder,UpLo,ConjugateLhs,ConjugateRhs,Version>::run(
      |      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:341:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function ‘Eigen::internal::trmv_selector<6, 1>::run<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, -1, false> const, -1, -1, false> const>, Eigen::Transpose<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1, 1, 1, -1> const> const, Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, -1, false> const, -1, 1, true> const, -1, 1, false> const> const> const>, Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >(Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, -1, false> const, -1, -1, false> const> const&, Eigen::Transpose<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1, 1, 1, -1> const> const, Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, -1, false> const, -1, 1, true> const, -1, 1, false> const> const> const> const&, Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >&, Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >::Scalar const&)void [clone .isra.0]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: ‘result_43’ may be used uninitialized [-Wmaybe-uninitialized]
  327 |     internal::triangular_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  328 |       <Index,Mode,
      |       ~~~~~~~~~~~~
  329 |        LhsScalar, LhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  330 |        RhsScalar, RhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  331 |        RowMajor>
      |        ~~~~~~~~~
  332 |       ::run(actualLhs.rows(),actualLhs.cols(),
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  333 |             actualLhs.data(),actualLhs.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  334 |             actualRhsPtr,1,
      |             ~~~~~~~~~~~~~~~
  335 |             dest.data(),dest.innerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  336 |             actualAlpha);
      |             ~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type ‘const double *’ to ‘Eigen::internal::triangular_matrix_vector_product<long, 6, double, false, double, false, 1, 0>::run(long, long, double const*, long, double const*, long, double*, long, double const&)’ declared here
  105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product<Index,Mode,LhsScalar,ConjLhs,RhsScalar,ConjRhs,RowMajor,Version>
      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I../inst/adelie/adelie/src/include -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS  -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include   -fopenmp -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer    -c rcpp_state.cpp -o rcpp_state.o
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from decl.h:3,
                 from rcpp_state.h:2,
                 from rcpp_state.cpp:1:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 1, -1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from ‘struct Eigen::internal::traits<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 1, -1, 1, 1, -1>’
   45 | class Array
      |       ^~~~~
../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:179:18:   required from here
  179 |     vec_impute_t _impute;
      |                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 1, -1, 1, 1, -1>’
   45 | class Array
      |       ^~~~~
../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:179:18:   required from here
  179 |     vec_impute_t _impute;
      |                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:329:77:   required from ‘class Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >’
  329 | template<typename TPlainObjectType, int Options, typename StrideType> class Ref<const TPlainObjectType, Options, StrideType>
      |                                                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:216:5:   required from here
  216 |     {
      |     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76:   required from ‘class Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >’
  281 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
      |                                                                            ^~~
../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:76:1:   required from here
   76 | )
      | ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
   45 | class Array
      |       ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49:   required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   24 |                              ? PlainObjectType::ColsAtCompileTime
      |                                                 ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from ‘class Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_io.h:30:5:   required from here
   30 |     {
      |     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
rcpp_io.h:30:5:   required from here
   30 |     {
      |     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49:   required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
   24 |                              ? PlainObjectType::ColsAtCompileTime
      |                                                 ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_matrix.h:452:26:   required from here
  452 |         vec_value_t out(Q.cols());
      |                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
rcpp_matrix.h:452:26:   required from here
  452 |         vec_value_t out(Q.cols());
      |                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:329:77:   required from ‘class Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
  329 | template<typename TPlainObjectType, int Options, typename StrideType> class Ref<const TPlainObjectType, Options, StrideType>
      |                                                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_matrix.h:453:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76:   required from ‘class Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
  281 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
      |                                                                            ^~~
rcpp_matrix.h:518:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1, 1, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:140:18:   required from ‘class adelie_core::matrix::MatrixNaiveBase<double, int>’
  140 |     virtual void sp_tmul(
      |                  ^~~~~~~
rcpp_matrix.h:612:24:   required from here
   27 |         if (!ptr) { \
      |              ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 1> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 1>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
rcpp_matrix.h:711:35:   required from here
  711 |         dense_64F_t outT(rows(), v.rows());
      |                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
rcpp_matrix.h:713:40:   required from here
  713 |         Eigen::Map<rowmat_value_t> out(outT.data(), outT.cols(), outT.rows());
      |                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76:   required from ‘class Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’
  281 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
      |                                                                            ^~~
rcpp_matrix.h:714:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:34:37:   required from ‘class adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>’
   34 |     const Eigen::Map<const dense_t> _mat;   // (n, d) underlying matrix
      |                                     ^~~~
rcpp_matrix.h:756:1:   required from here
  757 |     auto groups() const { return dynamic_cast<matrix_naive_interaction_dense_64F_t&>(*ptr).groups(); }
      |                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:353:6:   required from here
  353 |     ).sum();
      |      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseVector<double, 1, int> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseVector<double, 1, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h:64:7:   required from ‘class Eigen::SparseVector<double, 1, int>’
   64 | class SparseVector
      |       ^~~~~~~~~~~~
rcpp_state.cpp:434:18:   recursively required by substitution of ‘template<class PROP> Rcpp::class_<RStateGaussianCov64>::self& Rcpp::class_<RStateGaussianCov64>::property(const char*, PROP (*)(RStateGaussianCov64*), void (*)(RStateGaussianCov64*, PROP), const char*) [with PROP = <missing>]’
  431 |     Rcpp::class_<r_state_gaussian_cov_64_t>("RStateGaussianCov64")
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  432 |         .derives<state_gaussian_cov_64_t>("StateGaussianCov64")
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  433 |         .factory<Rcpp::List>(make_r_state_gaussian_cov_64)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  434 |         .property("betas", &betas<r_state_gaussian_cov_64_t>, "")
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_state.cpp:434:18:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
rcpp_state.cpp:28:16:   required from ‘auto convert_betas(size_t, const BetasType&) [with BetasType = std::vector<Eigen::SparseVector<double, 1, int>, std::allocator<Eigen::SparseVector<double, 1, int> > >; size_t = long unsigned int]’
   28 |         Eigen::Map<vec_value_t>(
      |                ^~~~~~~~~~~~~~~~~
   29 |             values.data() + inner_idx,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
   30 |             nnz_curr
      |             ~~~~~~~~
   31 |         ) = Eigen::Map<const vec_value_t>(
      |         ~       
rcpp_state.cpp:434:18:   recursively required by substitution of ‘template<class PROP> Rcpp::class_<RStateGaussianCov64>::self& Rcpp::class_<RStateGaussianCov64>::property(const char*, PROP (*)(RStateGaussianCov64*), void (*)(RStateGaussianCov64*, PROP), const char*) [with PROP = <missing>]’
  431 |     Rcpp::class_<r_state_gaussian_cov_64_t>("RStateGaussianCov64")
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  432 |         .derives<state_gaussian_cov_64_t>("StateGaussianCov64")
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  433 |         .factory<Rcpp::List>(make_r_state_gaussian_cov_64)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  434 |         .property("betas", &betas<r_state_gaussian_cov_64_t>, "")
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_state.cpp:434:18:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   50 | class SparseMapBase<Derived,ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7:   required from ‘class Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >’
  255 | class Map<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_state.cpp:46:18:   required from ‘auto convert_betas(size_t, const BetasType&) [with BetasType = std::vector<Eigen::SparseVector<double, 1, int>, std::allocator<Eigen::SparseVector<double, 1, int> > >; size_t = long unsigned int]’
   46 |     out = Eigen::Map<const sp_mat_t>(
      |                  ^~~~~~~~~~~~~~~~~~~~
   47 |         l,
      |         ~~        
   48 |         p,
      |         ~~        
   49 |         nnz,
      |         ~~~~      
   50 |         outers.data(),
      |         ~~~~~~~~~~~~~~
   51 |         inners.data(),
      |         ~~~~~~~~~~~~~~
   52 |         values.data()
      |         ~~~~~~~~~~~~~
   53 |     );
      |     ~             
rcpp_state.cpp:434:18:   recursively required by substitution of ‘template<class PROP> Rcpp::class_<RStateGaussianCov64>::self& Rcpp::class_<RStateGaussianCov64>::property(const char*, PROP (*)(RStateGaussianCov64*), void (*)(RStateGaussianCov64*, PROP), const char*) [with PROP = <missing>]’
  431 |     Rcpp::class_<r_state_gaussian_cov_64_t>("RStateGaussianCov64")
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  432 |         .derives<state_gaussian_cov_64_t>("StateGaussianCov64")
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  433 |         .factory<Rcpp::List>(make_r_state_gaussian_cov_64)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  434 |         .property("betas", &betas<r_state_gaussian_cov_64_t>, "")
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_state.cpp:434:18:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:977:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
  977 | struct evaluator<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71:   required from ‘struct Eigen::internal::evaluator<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
 1018 |     Flags = evaluator<Map<PlainObjectType, RefOptions, StrideType> >::Flags,
      |                                                                       ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >::match<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >]’
  288 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
      |                                                                                                     ^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.ipp:100:19:   required from ‘std::tuple<long unsigned int, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, double, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, double> > > > adelie_core::io::IOSNPUnphased<MmapPtrType>::write(const Eigen::Ref<const Eigen::Array<signed char, -1, -1, 0, -1, -1> >&, const std::string&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const [with MmapPtrType = std::shared_ptr<char>; std::string = std::__cxx11::basic_string<char>; size_t = long unsigned int]’
  100 |     compute_impute(calldata, impute_method, impute, n_threads);
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_io.h:33:41:   required from here
   33 |         return std::get<0>(base_t::write(calldata8, impute_method, impute, n_threads));
      |                            ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.ipp:3,
                 from rcpp_io.h:4,
                 from rcpp_matrix.h:4,
                 from rcpp_state.h:3:
../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.ipp: In instantiation of ‘std::tuple<long unsigned int, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, double, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, double> > > > adelie_core::io::IOSNPUnphased<MmapPtrType>::write(const Eigen::Ref<const Eigen::Array<signed char, -1, -1, 0, -1, -1> >&, const std::string&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const [with MmapPtrType = std::shared_ptr<char>; std::string = std::__cxx11::basic_string<char>; size_t = long unsigned int]’:
rcpp_io.h:33:41:   required from here
   33 |         return std::get<0>(base_t::write(calldata8, impute_method, impute, n_threads));
      |                            ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:74:43: note: initializing argument 3 of ‘void adelie_core::io::compute_impute(const Eigen::Ref<const Eigen::Array<signed char, -1, -1, 0, -1, -1> >&, adelie_core::util::impute_method_type, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)’
   74 |     Eigen::Ref<util::rowvec_type<double>> impute,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:118:45:   required from ‘void adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::mean(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) const [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  118 |         vec_value_t ones = vec_value_t::Ones(weights.size());
      |                            ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
rcpp_matrix.h:723:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:132:35:   required from ‘void adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::var(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) const [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  132 |         out += centers * (centers * sum_w - 2 * m);
      |                           ~~~~~~~~^~~~~~~
rcpp_matrix.h:733:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:132:35:   required from ‘void adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::var(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) const [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  132 |         out += centers * (centers * sum_w - 2 * m);
      |                           ~~~~~~~~^~~~~~~
rcpp_matrix.h:733:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:132:47:   required from ‘void adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::var(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) const [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  132 |         out += centers * (centers * sum_w - 2 * m);
      |                                             ~~^~~
rcpp_matrix.h:733:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:132:43:   required from ‘void adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::var(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) const [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  132 |         out += centers * (centers * sum_w - 2 * m);
      |                          ~~~~~~~~~~~~~~~~~^~~~~~~~
rcpp_matrix.h:733:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:132:24:   required from ‘void adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::var(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) const [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  132 |         out += centers * (centers * sum_w - 2 * m);
      |                ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_matrix.h:733:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:141:34:   required from ‘adelie_core::state::StateGaussianNaive<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianNaive(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixNaiveBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  141 |         weights_sqrt(weights.sqrt()),
      |                      ~~~~~~~~~~~~^~
rcpp_state.h:50:19:   required from here
   50 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > > >’
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:292:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >’
  292 | struct evaluator<Map<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93:   required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Options = 1; _StorageIndex = int]’
 1181 |   const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator<OtherDerived>::Flags & RowMajorBit);
      |                                                                                             ^~~~~
rcpp_state.cpp:46:9:   required from ‘auto convert_betas(size_t, const BetasType&) [with BetasType = std::vector<Eigen::SparseVector<double, 1, int>, std::allocator<Eigen::SparseVector<double, 1, int> > >; size_t = long unsigned int]’
   46 |     out = Eigen::Map<const sp_mat_t>(
      |     ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   47 |         l,
      |         ~~
   48 |         p,
      |         ~~
   49 |         nnz,
      |         ~~~~
   50 |         outers.data(),
      |         ~~~~~~~~~~~~~~
   51 |         inners.data(),
      |         ~~~~~~~~~~~~~~
   52 |         values.data()
      |         ~~~~~~~~~~~~~
   53 |     );
      |     ~    
rcpp_state.cpp:434:18:   recursively required by substitution of ‘template<class PROP> Rcpp::class_<RStateGaussianCov64>::self& Rcpp::class_<RStateGaussianCov64>::property(const char*, PROP (*)(RStateGaussianCov64*), void (*)(RStateGaussianCov64*, PROP), const char*) [with PROP = Eigen::SparseMatrix<double, 1>]’
  431 |     Rcpp::class_<r_state_gaussian_cov_64_t>("RStateGaussianCov64")
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  432 |         .derives<state_gaussian_cov_64_t>("StateGaussianCov64")
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  433 |         .factory<Rcpp::List>(make_r_state_gaussian_cov_64)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  434 |         .property("betas", &betas<r_state_gaussian_cov_64_t>, "")
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_state.cpp:434:18:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71:   required from ‘struct Eigen::internal::evaluator<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
 1018 |     Flags = evaluator<Map<PlainObjectType, RefOptions, StrideType> >::Flags,
      |                                                                       ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:128:39:   required from ‘void adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::var(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) const [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  128 |         const auto sum_w = weights.sum();
      |                            ~~~~~~~~~~~^~
rcpp_matrix.h:733:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, 1, 0, 1, 1>’
  178 | class Matrix
      |       ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:77:46:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |             util::colmat_type<value_t, 1, 1> Q;
      |                                              ^
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, 1, 0, 1, 1>’
  178 | class Matrix
      |       ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:77:46:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |             util::colmat_type<value_t, 1, 1> Q;
      |                                              ^
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21:   required from ‘class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >’
   92 |             >::type DiagonalReturnType;
      |                     ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from ‘class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >’
  111 |     typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType;
      |                                                              ^~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21:   required from ‘class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >’
   97 |             >::type SubDiagonalReturnType;
      |                     ^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from ‘class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >’
  111 |     typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType;
      |                                                              ^~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128:   required from ‘class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >’
  100 |     typedef HouseholderSequence<MatrixType,typename internal::remove_all<typename CoeffVectorType::ConjugateReturnType>::type> HouseholderSequenceType;
      |                                                                                                                                ^~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from ‘class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >’
  111 |     typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType;
      |                                                              ^~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:93:55:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   93 |         svars.head(D.size()) = D.array() * (D.array() >= 0).template cast<value_t>();
      |                                            ~~~~~~~~~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Array<double, 1, -1, 1, 1, -1>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:106:25:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
  106 |         ) = grad.segment(g, gs);
      |             ~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, 1, -1, 1, 1, -1>; Src = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Func = assign_op<double, double>]’
  883 |   ActualDstType actualDst(dst);
      |                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:371:41:   required from ‘void Eigen::Ref<const TPlainObjectType, Options, StrideType>::construct(const Expression&, Eigen::internal::false_type) [with Expression = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array<double, 1, -1, 1, 1, -1>; int Options = 0; StrideType = Eigen::InnerStride<1>]’
  371 |       internal::call_assignment_no_alias(m_object,expr,internal::assign_op<Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:364:18:   required from ‘void Eigen::Ref<const TPlainObjectType, Options, StrideType>::construct(const Expression&, Eigen::internal::true_type) [with Expression = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array<double, 1, -1, 1, 1, -1>; int Options = 0; StrideType = Eigen::InnerStride<1>]’
  364 |         construct(expr, internal::false_type());
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:345:16:   required from ‘Eigen::Ref<const TPlainObjectType, Options, StrideType>::Ref(const Eigen::DenseBase<OtherDerived>&, typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits<Eigen::Ref<const TPlainObjectType, Options, StrideType> >::match<Derived>::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array<double, 1, -1, 1, 1, -1>; int Options = 0; StrideType = Eigen::InnerStride<1>; typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits<Eigen::Ref<const TPlainObjectType, Options, StrideType> >::match<Derived>::ScalarTypeMatch), Derived>::type = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<Eigen::Ref<const TPlainObjectType, Options, StrideType> >::match<Derived> = Eigen::internal::traits<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >::match<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]’
  345 |       construct(expr.derived(), typename Traits::template match<Derived>::type());
      |       ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_matrix.h:472:24:   required from here
  472 |         return [&]() { ADELIE_CORE_PIMPL_OVERRIDE(rvmul, j, v); }();
      |                                                             ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:67:66:   required from ‘void adelie_core::solver::update_abs_grad(StateType&, ValueType) [with StateType = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; ValueType = double]’
   67 |         const auto common_expr = grad.segment(k, size_k) - regul * sbeta;
      |                                                            ~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.ipp:99:28:   required from ‘void adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   99 |     solver::update_abs_grad(*this, lmda);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:214:9:   required from ‘adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<BoolType, 1, -1, 1, 1, -1> >&, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename Eigen::internal::conditional<const Eigen::Array<BoolType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  214 |         initialize();
      |         ^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:133:16:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  133 |         rsq(rsq)
      |                ^
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:67:58:   required from ‘void adelie_core::solver::update_abs_grad(StateType&, ValueType) [with StateType = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; ValueType = double]’
   67 |         const auto common_expr = grad.segment(k, size_k) - regul * sbeta;
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.ipp:99:28:   required from ‘void adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   99 |     solver::update_abs_grad(*this, lmda);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:214:9:   required from ‘adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<BoolType, 1, -1, 1, 1, -1> >&, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename Eigen::internal::conditional<const Eigen::Array<BoolType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  214 |         initialize();
      |         ^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:133:16:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  133 |         rsq(rsq)
      |                ^
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:70:45:   required from ‘void adelie_core::solver::update_abs_grad(StateType&, ValueType) [with StateType = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; ValueType = double]’
   70 |             abs_grad[i] = common_expr.matrix().norm();
      |                           ~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.ipp:99:28:   required from ‘void adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   99 |     solver::update_abs_grad(*this, lmda);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:214:9:   required from ‘adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<BoolType, 1, -1, 1, 1, -1> >&, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename Eigen::internal::conditional<const Eigen::Array<BoolType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  214 |         initialize();
      |         ^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:133:16:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  133 |         rsq(rsq)
      |                ^
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:72:35:   required from ‘void adelie_core::solver::update_abs_grad(StateType&, ValueType) [with StateType = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; ValueType = double]’
   72 |             auto vbuff = buff.head(size_k);
      |                          ~~~~~~~~~^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.ipp:99:28:   required from ‘void adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   99 |     solver::update_abs_grad(*this, lmda);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:214:9:   required from ‘adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<BoolType, 1, -1, 1, 1, -1> >&, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename Eigen::internal::conditional<const Eigen::Array<BoolType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  214 |         initialize();
      |         ^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:133:16:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  133 |         rsq(rsq)
      |                ^
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:277:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >::match<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>]’
  288 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
      |                                                                                                     ^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:73:33:   required from ‘void adelie_core::solver::update_abs_grad(StateType&, ValueType) [with StateType = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; ValueType = double]’
   73 |             constraint->gradient(sbeta, vbuff);
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.ipp:99:28:   required from ‘void adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   99 |     solver::update_abs_grad(*this, lmda);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:214:9:   required from ‘adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<BoolType, 1, -1, 1, 1, -1> >&, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename Eigen::internal::conditional<const Eigen::Array<BoolType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  214 |         initialize();
      |         ^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:133:16:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  133 |         rsq(rsq)
      |                ^
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:74:40:   required from ‘void adelie_core::solver::update_abs_grad(StateType&, ValueType) [with StateType = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; ValueType = double]’
   74 |             abs_grad[i] = (common_expr - vbuff).matrix().norm();
      |                           ~~~~~~~~~~~~~^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.ipp:99:28:   required from ‘void adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   99 |     solver::update_abs_grad(*this, lmda);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:214:9:   required from ‘adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<BoolType, 1, -1, 1, 1, -1> >&, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename Eigen::internal::conditional<const Eigen::Array<BoolType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  214 |         initialize();
      |         ^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:133:16:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  133 |         rsq(rsq)
      |                ^
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:74:55:   required from ‘void adelie_core::solver::update_abs_grad(StateType&, ValueType) [with StateType = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; ValueType = double]’
   74 |             abs_grad[i] = (common_expr - vbuff).matrix().norm();
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.ipp:99:28:   required from ‘void adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   99 |     solver::update_abs_grad(*this, lmda);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:214:9:   required from ‘adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<BoolType, 1, -1, 1, 1, -1> >&, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename Eigen::internal::conditional<const Eigen::Array<BoolType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  214 |         initialize();
      |         ^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:133:16:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  133 |         rsq(rsq)
      |                ^
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >::match<Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:340:101:   required by substitution of ‘template<class Derived> Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >::match<Derived>::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>]’
  340 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::ScalarTypeMatch),Derived>::type* = 0)
      |                                                                                                     ^~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:91:39:   required from ‘void adelie_core::solver::update_abs_grad(StateType&, ValueType) [with StateType = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; ValueType = double]’
   91 |                 constraint->solve_zero(v_k, cbuff) :
      |                 ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.ipp:99:28:   required from ‘void adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   99 |     solver::update_abs_grad(*this, lmda);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:214:9:   required from ‘adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<BoolType, 1, -1, 1, 1, -1> >&, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename Eigen::internal::conditional<const Eigen::Array<BoolType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  214 |         initialize();
      |         ^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:133:16:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  133 |         rsq(rsq)
      |                ^
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:92:27:   required from ‘void adelie_core::solver::update_abs_grad(StateType&, ValueType) [with StateType = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; ValueType = double]’
   92 |                 v_k.matrix().norm()
      |                 ~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.ipp:99:28:   required from ‘void adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   99 |     solver::update_abs_grad(*this, lmda);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:214:9:   required from ‘adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<BoolType, 1, -1, 1, 1, -1> >&, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename Eigen::internal::conditional<const Eigen::Array<BoolType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  214 |         initialize();
      |         ^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:133:16:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  133 |         rsq(rsq)
      |                ^
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:93:19:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   93 |         svars.head(D.size()) = D.array() * (D.array() >= 0).template cast<value_t>();
      |         ~~~~~~~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:93:83:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   93 |         svars.head(D.size()) = D.array() * (D.array() >= 0).template cast<value_t>();
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from ‘struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:93:83:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   93 |         svars.head(D.size()) = D.array() * (D.array() >= 0).template cast<value_t>();
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:93:42:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   93 |         svars.head(D.size()) = D.array() * (D.array() >= 0).template cast<value_t>();
      |                                ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:101:54:   required from ‘void adelie_core::solver::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, size_t, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase<double, int>; XMType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array<double, 1, -1, 1, 1, -1>; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; SSType = std::vector<int>; SBType = std::vector<int>; SXMType = std::vector<double>; STType = std::vector<Eigen::Matrix<double, -1, -1, 1, -1, -1>, std::allocator<Eigen::Matrix<double, -1, -1, 1, -1, -1> > >; SVType = std::vector<double>; size_t = long unsigned int]’
  101 |             XiTXi_lower.rankUpdate(Xi_means.matrix().transpose(), -1);
      |                                    ~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:160:26:   required from ‘void adelie_core::solver::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  160 |     update_screen_derived(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  161 |         *state.X,
      |         ~~~~~~~~~         
  162 |         state.X_means,
      |         ~~~~~~~~~~~~~~    
  163 |         state.weights_sqrt,
      |         ~~~~~~~~~~~~~~~~~~~
  164 |         state.groups,
      |         ~~~~~~~~~~~~~     
  165 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  166 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~ 
  167 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  168 |         old_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  169 |         new_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  170 |         state.intercept,
      |         ~~~~~~~~~~~~~~~~  
  171 |         state.n_threads,
      |         ~~~~~~~~~~~~~~~~  
  172 |         state.screen_X_means,
      |         ~~~~~~~~~~~~~~~~~~~~~
  173 |         state.screen_transforms,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  174 |         state.screen_vars
      |         ~~~~~~~~~~~~~~~~~ 
  175 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.ipp:27:51:   required from ‘void adelie_core::state::StateGaussianNaive<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixNaiveBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   27 |     solver::gaussian::naive::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:152:9:   required from ‘adelie_core::state::StateGaussianNaive<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianNaive(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixNaiveBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  152 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:50:19:   required from here
   50 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1> > >’
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 1> >’
 1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:79:45:   required from ‘void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix<double, 1>; SrcXprType = Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >]’
   79 |   const bool transpose = (DstEvaluatorType::Flags & RowMajorBit) != (SrcEvaluatorType::Flags & RowMajorBit);
      |                                             ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::SparseMatrix<double, 1>; SrcXprType = Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op<double, double>; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]’
  132 |     assign_sparse_to_sparse(dst.derived(), src.derived());
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16:   required from ‘Derived& Eigen::SparseMatrixBase<Derived>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::SparseMatrix<double, 1>]’
   37 |   internal::Assignment<Derived,OtherDerived,internal::assign_op<Scalar,typename OtherDerived::Scalar> >
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |           ::run(derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |           ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27:   required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Options = 1; _StorageIndex = int]’
 1239 |     return Base::operator=(other.derived());
      |            ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
rcpp_state.cpp:46:9:   required from ‘auto convert_betas(size_t, const BetasType&) [with BetasType = std::vector<Eigen::SparseVector<double, 1, int>, std::allocator<Eigen::SparseVector<double, 1, int> > >; size_t = long unsigned int]’
   46 |     out = Eigen::Map<const sp_mat_t>(
      |     ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   47 |         l,
      |         ~~
   48 |         p,
      |         ~~
   49 |         nnz,
      |         ~~~~
   50 |         outers.data(),
      |         ~~~~~~~~~~~~~~
   51 |         inners.data(),
      |         ~~~~~~~~~~~~~~
   52 |         values.data()
      |         ~~~~~~~~~~~~~
   53 |     );
      |     ~    
rcpp_state.cpp:434:18:   recursively required by substitution of ‘template<class PROP> Rcpp::class_<RStateGaussianCov64>::self& Rcpp::class_<RStateGaussianCov64>::property(const char*, PROP (*)(RStateGaussianCov64*), void (*)(RStateGaussianCov64*, PROP), const char*) [with PROP = Eigen::SparseMatrix<double, 1>]’
  431 |     Rcpp::class_<r_state_gaussian_cov_64_t>("RStateGaussianCov64")
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  432 |         .derives<state_gaussian_cov_64_t>("StateGaussianCov64")
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  433 |         .factory<Rcpp::List>(make_r_state_gaussian_cov_64)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  434 |         .property("betas", &betas<r_state_gaussian_cov_64_t>, "")
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_state.cpp:434:18:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:128:39:   required from ‘void adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::var(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) const [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  128 |         const auto sum_w = weights.sum();
      |                            ~~~~~~~~~~~^~
rcpp_matrix.h:733:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::naive::update_screen_derived<adelie_core::matrix::MatrixNaiveBase<double, int>, Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, std::vector<int>, std::vector<int>, std::vector<double>, std::vector<Eigen::Matrix<double, -1, -1, 1, -1, -1>, std::allocator<Eigen::Matrix<double, -1, -1, 1, -1, -1> > >, std::vector<double> >(adelie_core::matrix::MatrixNaiveBase<double, int>&, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Array<double, 1, -1, 1, 1, -1>&, const Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, const std::vector<int>&, const std::vector<int>&, size_t, size_t, bool, size_t, std::vector<double>&, std::vector<Eigen::Matrix<double, -1, -1, 1, -1, -1>, std::allocator<Eigen::Matrix<double, -1, -1, 1, -1, -1> > >&, std::vector<double>&)::<lambda(auto:171)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:124:27:   required from ‘void adelie_core::solver::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, size_t, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase<double, int>; XMType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array<double, 1, -1, 1, 1, -1>; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; SSType = std::vector<int>; SBType = std::vector<int>; SXMType = std::vector<double>; STType = std::vector<Eigen::Matrix<double, -1, -1, 1, -1, -1>, std::allocator<Eigen::Matrix<double, -1, -1, 1, -1, -1> > >; SVType = std::vector<double>; size_t = long unsigned int]’
  124 |     util::omp_parallel_for(routine, begin, end, n_threads * ((begin+n_threads) <= end));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:160:26:   required from ‘void adelie_core::solver::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  160 |     update_screen_derived(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  161 |         *state.X,
      |         ~~~~~~~~~         
  162 |         state.X_means,
      |         ~~~~~~~~~~~~~~    
  163 |         state.weights_sqrt,
      |         ~~~~~~~~~~~~~~~~~~~
  164 |         state.groups,
      |         ~~~~~~~~~~~~~     
  165 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  166 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~ 
  167 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  168 |         old_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  169 |         new_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  170 |         state.intercept,
      |         ~~~~~~~~~~~~~~~~  
  171 |         state.n_threads,
      |         ~~~~~~~~~~~~~~~~  
  172 |         state.screen_X_means,
      |         ~~~~~~~~~~~~~~~~~~~~~
  173 |         state.screen_transforms,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  174 |         state.screen_vars
      |         ~~~~~~~~~~~~~~~~~ 
  175 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.ipp:27:51:   required from ‘void adelie_core::state::StateGaussianNaive<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixNaiveBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   27 |     solver::gaussian::naive::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:152:9:   required from ‘adelie_core::state::StateGaussianNaive<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianNaive(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixNaiveBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  152 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:50:19:   required from here
   50 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::naive::update_screen_derived<adelie_core::matrix::MatrixNaiveBase<double, int>, Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, std::vector<int>, std::vector<int>, std::vector<double>, std::vector<Eigen::Matrix<double, -1, -1, 1, -1, -1>, std::allocator<Eigen::Matrix<double, -1, -1, 1, -1, -1> > >, std::vector<double> >(adelie_core::matrix::MatrixNaiveBase<double, int>&, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Array<double, 1, -1, 1, 1, -1>&, const Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, const std::vector<int>&, const std::vector<int>&, size_t, size_t, bool, size_t, std::vector<double>&, std::vector<Eigen::Matrix<double, -1, -1, 1, -1, -1>, std::allocator<Eigen::Matrix<double, -1, -1, 1, -1, -1> > >&, std::vector<double>&)::<lambda(auto:171)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:124:27:   required from ‘void adelie_core::solver::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, size_t, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase<double, int>; XMType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array<double, 1, -1, 1, 1, -1>; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; SSType = std::vector<int>; SBType = std::vector<int>; SXMType = std::vector<double>; STType = std::vector<Eigen::Matrix<double, -1, -1, 1, -1, -1>, std::allocator<Eigen::Matrix<double, -1, -1, 1, -1, -1> > >; SVType = std::vector<double>; size_t = long unsigned int]’
  124 |     util::omp_parallel_for(routine, begin, end, n_threads * ((begin+n_threads) <= end));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:160:26:   required from ‘void adelie_core::solver::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  160 |     update_screen_derived(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  161 |         *state.X,
      |         ~~~~~~~~~         
  162 |         state.X_means,
      |         ~~~~~~~~~~~~~~    
  163 |         state.weights_sqrt,
      |         ~~~~~~~~~~~~~~~~~~~
  164 |         state.groups,
      |         ~~~~~~~~~~~~~     
  165 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  166 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~ 
  167 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  168 |         old_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  169 |         new_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  170 |         state.intercept,
      |         ~~~~~~~~~~~~~~~~  
  171 |         state.n_threads,
      |         ~~~~~~~~~~~~~~~~  
  172 |         state.screen_X_means,
      |         ~~~~~~~~~~~~~~~~~~~~~
  173 |         state.screen_transforms,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  174 |         state.screen_vars
      |         ~~~~~~~~~~~~~~~~~ 
  175 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.ipp:27:51:   required from ‘void adelie_core::state::StateGaussianNaive<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixNaiveBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   27 |     solver::gaussian::naive::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:152:9:   required from ‘adelie_core::state::StateGaussianNaive<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianNaive(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixNaiveBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  152 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:50:19:   required from here
   50 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::naive::update_screen_derived<adelie_core::matrix::MatrixNaiveBase<double, int>, Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, std::vector<int>, std::vector<int>, std::vector<double>, std::vector<Eigen::Matrix<double, -1, -1, 1, -1, -1>, std::allocator<Eigen::Matrix<double, -1, -1, 1, -1, -1> > >, std::vector<double> >(adelie_core::matrix::MatrixNaiveBase<double, int>&, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Array<double, 1, -1, 1, 1, -1>&, const Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, const std::vector<int>&, const std::vector<int>&, size_t, size_t, bool, size_t, std::vector<double>&, std::vector<Eigen::Matrix<double, -1, -1, 1, -1, -1>, std::allocator<Eigen::Matrix<double, -1, -1, 1, -1, -1> > >&, std::vector<double>&)::<lambda(auto:171)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:124:27:   required from ‘void adelie_core::solver::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, size_t, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase<double, int>; XMType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array<double, 1, -1, 1, 1, -1>; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; SSType = std::vector<int>; SBType = std::vector<int>; SXMType = std::vector<double>; STType = std::vector<Eigen::Matrix<double, -1, -1, 1, -1, -1>, std::allocator<Eigen::Matrix<double, -1, -1, 1, -1, -1> > >; SVType = std::vector<double>; size_t = long unsigned int]’
  124 |     util::omp_parallel_for(routine, begin, end, n_threads * ((begin+n_threads) <= end));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:160:26:   required from ‘void adelie_core::solver::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  160 |     update_screen_derived(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  161 |         *state.X,
      |         ~~~~~~~~~         
  162 |         state.X_means,
      |         ~~~~~~~~~~~~~~    
  163 |         state.weights_sqrt,
      |         ~~~~~~~~~~~~~~~~~~~
  164 |         state.groups,
      |         ~~~~~~~~~~~~~     
  165 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  166 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~ 
  167 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  168 |         old_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  169 |         new_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  170 |         state.intercept,
      |         ~~~~~~~~~~~~~~~~  
  171 |         state.n_threads,
      |         ~~~~~~~~~~~~~~~~  
  172 |         state.screen_X_means,
      |         ~~~~~~~~~~~~~~~~~~~~~
  173 |         state.screen_transforms,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  174 |         state.screen_vars
      |         ~~~~~~~~~~~~~~~~~ 
  175 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.ipp:27:51:   required from ‘void adelie_core::state::StateGaussianNaive<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixNaiveBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   27 |     solver::gaussian::naive::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:152:9:   required from ‘adelie_core::state::StateGaussianNaive<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianNaive(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixNaiveBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  152 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:50:19:   required from here
   50 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:70:52:   required from ‘void adelie_core::solver::update_abs_grad(StateType&, ValueType) [with StateType = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; ValueType = double]’
   70 |             abs_grad[i] = common_expr.matrix().norm();
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.ipp:99:28:   required from ‘void adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   99 |     solver::update_abs_grad(*this, lmda);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:214:9:   required from ‘adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<BoolType, 1, -1, 1, 1, -1> >&, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename Eigen::internal::conditional<const Eigen::Array<BoolType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  214 |         initialize();
      |         ^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:133:16:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  133 |         rsq(rsq)
      |                ^
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:74:62:   required from ‘void adelie_core::solver::update_abs_grad(StateType&, ValueType) [with StateType = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; ValueType = double]’
   74 |             abs_grad[i] = (common_expr - vbuff).matrix().norm();
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.ipp:99:28:   required from ‘void adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   99 |     solver::update_abs_grad(*this, lmda);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:214:9:   required from ‘adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<BoolType, 1, -1, 1, 1, -1> >&, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename Eigen::internal::conditional<const Eigen::Array<BoolType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  214 |         initialize();
      |         ^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:133:16:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  133 |         rsq(rsq)
      |                ^
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:92:34:   required from ‘void adelie_core::solver::update_abs_grad(StateType&, ValueType) [with StateType = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; ValueType = double]’
   92 |                 v_k.matrix().norm()
      |                 ~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.ipp:99:28:   required from ‘void adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   99 |     solver::update_abs_grad(*this, lmda);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:214:9:   required from ‘adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<BoolType, 1, -1, 1, 1, -1> >&, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename Eigen::internal::conditional<const Eigen::Array<BoolType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  214 |         initialize();
      |         ^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:133:16:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  133 |         rsq(rsq)
      |                ^
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:398:143:   required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator/=(const typename Eigen::internal::traits<T>::Scalar&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1; TriangularViewType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  398 |     TriangularViewType&  operator/=(const typename internal::traits<MatrixType>::Scalar& other) { return *this = derived().nestedExpression() / other; }
      |                                                                                                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:455:40:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67:   required from ‘Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Matrix<double, -1, 1>; Scalar = double]’
   20 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:463:14:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::naive::update_screen_derived<adelie_core::matrix::MatrixNaiveBase<double, int>, Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, std::vector<int>, std::vector<int>, std::vector<double>, std::vector<Eigen::Matrix<double, -1, -1, 1, -1, -1>, std::allocator<Eigen::Matrix<double, -1, -1, 1, -1, -1> > >, std::vector<double> >(adelie_core::matrix::MatrixNaiveBase<double, int>&, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Array<double, 1, -1, 1, 1, -1>&, const Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, const std::vector<int>&, const std::vector<int>&, size_t, size_t, bool, size_t, std::vector<double>&, std::vector<Eigen::Matrix<double, -1, -1, 1, -1, -1>, std::allocator<Eigen::Matrix<double, -1, -1, 1, -1, -1> > >&, std::vector<double>&)::<lambda(auto:171)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:124:27:   required from ‘void adelie_core::solver::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, size_t, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase<double, int>; XMType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array<double, 1, -1, 1, 1, -1>; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; SSType = std::vector<int>; SBType = std::vector<int>; SXMType = std::vector<double>; STType = std::vector<Eigen::Matrix<double, -1, -1, 1, -1, -1>, std::allocator<Eigen::Matrix<double, -1, -1, 1, -1, -1> > >; SVType = std::vector<double>; size_t = long unsigned int]’
  124 |     util::omp_parallel_for(routine, begin, end, n_threads * ((begin+n_threads) <= end));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:160:26:   required from ‘void adelie_core::solver::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  160 |     update_screen_derived(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  161 |         *state.X,
      |         ~~~~~~~~~         
  162 |         state.X_means,
      |         ~~~~~~~~~~~~~~    
  163 |         state.weights_sqrt,
      |         ~~~~~~~~~~~~~~~~~~~
  164 |         state.groups,
      |         ~~~~~~~~~~~~~     
  165 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  166 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~ 
  167 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  168 |         old_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  169 |         new_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  170 |         state.intercept,
      |         ~~~~~~~~~~~~~~~~  
  171 |         state.n_threads,
      |         ~~~~~~~~~~~~~~~~  
  172 |         state.screen_X_means,
      |         ~~~~~~~~~~~~~~~~~~~~~
  173 |         state.screen_transforms,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  174 |         state.screen_vars
      |         ~~~~~~~~~~~~~~~~~ 
  175 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.ipp:27:51:   required from ‘void adelie_core::state::StateGaussianNaive<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixNaiveBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   27 |     solver::gaussian::naive::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:152:9:   required from ‘adelie_core::state::StateGaussianNaive<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianNaive(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixNaiveBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  152 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:50:19:   required from here
   50 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::naive::update_screen_derived<adelie_core::matrix::MatrixNaiveBase<double, int>, Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, std::vector<int>, std::vector<int>, std::vector<double>, std::vector<Eigen::Matrix<double, -1, -1, 1, -1, -1>, std::allocator<Eigen::Matrix<double, -1, -1, 1, -1, -1> > >, std::vector<double> >(adelie_core::matrix::MatrixNaiveBase<double, int>&, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Array<double, 1, -1, 1, 1, -1>&, const Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, const std::vector<int>&, const std::vector<int>&, size_t, size_t, bool, size_t, std::vector<double>&, std::vector<Eigen::Matrix<double, -1, -1, 1, -1, -1>, std::allocator<Eigen::Matrix<double, -1, -1, 1, -1, -1> > >&, std::vector<double>&)::<lambda(auto:171)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:124:27:   required from ‘void adelie_core::solver::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, size_t, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase<double, int>; XMType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array<double, 1, -1, 1, 1, -1>; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; SSType = std::vector<int>; SBType = std::vector<int>; SXMType = std::vector<double>; STType = std::vector<Eigen::Matrix<double, -1, -1, 1, -1, -1>, std::allocator<Eigen::Matrix<double, -1, -1, 1, -1, -1> > >; SVType = std::vector<double>; size_t = long unsigned int]’
  124 |     util::omp_parallel_for(routine, begin, end, n_threads * ((begin+n_threads) <= end));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:160:26:   required from ‘void adelie_core::solver::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  160 |     update_screen_derived(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  161 |         *state.X,
      |         ~~~~~~~~~         
  162 |         state.X_means,
      |         ~~~~~~~~~~~~~~    
  163 |         state.weights_sqrt,
      |         ~~~~~~~~~~~~~~~~~~~
  164 |         state.groups,
      |         ~~~~~~~~~~~~~     
  165 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  166 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~ 
  167 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  168 |         old_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  169 |         new_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  170 |         state.intercept,
      |         ~~~~~~~~~~~~~~~~  
  171 |         state.n_threads,
      |         ~~~~~~~~~~~~~~~~  
  172 |         state.screen_X_means,
      |         ~~~~~~~~~~~~~~~~~~~~~
  173 |         state.screen_transforms,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  174 |         state.screen_vars
      |         ~~~~~~~~~~~~~~~~~ 
  175 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.ipp:27:51:   required from ‘void adelie_core::state::StateGaussianNaive<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixNaiveBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   27 |     solver::gaussian::naive::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:152:9:   required from ‘adelie_core::state::StateGaussianNaive<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianNaive(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixNaiveBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  152 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:50:19:   required from here
   50 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:735:21:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::setOnes(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’
  735 |   return setConstant(Scalar(1));
      |          ~~~~~~~~~~~^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:440:22:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:450:24:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:451:40:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:93:30:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   93 |         svars.head(D.size()) = D.array() * (D.array() >= 0).template cast<value_t>();
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:29:114:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::naive::update_screen_derived<adelie_core::matrix::MatrixNaiveBase<double, int>, Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, std::vector<int>, std::vector<int>, std::vector<double>, std::vector<Eigen::Matrix<double, -1, -1, 1, -1, -1>, std::allocator<Eigen::Matrix<double, -1, -1, 1, -1, -1> > >, std::vector<double> >(adelie_core::matrix::MatrixNaiveBase<double, int>&, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Array<double, 1, -1, 1, 1, -1>&, const Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, const std::vector<int>&, const std::vector<int>&, size_t, size_t, bool, size_t, std::vector<double>&, std::vector<Eigen::Matrix<double, -1, -1, 1, -1, -1>, std::allocator<Eigen::Matrix<double, -1, -1, 1, -1, -1> > >&, std::vector<double>&)::<lambda(auto:171)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:124:27:   required from ‘void adelie_core::solver::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, size_t, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase<double, int>; XMType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array<double, 1, -1, 1, 1, -1>; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; SSType = std::vector<int>; SBType = std::vector<int>; SXMType = std::vector<double>; STType = std::vector<Eigen::Matrix<double, -1, -1, 1, -1, -1>, std::allocator<Eigen::Matrix<double, -1, -1, 1, -1, -1> > >; SVType = std::vector<double>; size_t = long unsigned int]’
  124 |     util::omp_parallel_for(routine, begin, end, n_threads * ((begin+n_threads) <= end));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:160:26:   required from ‘void adelie_core::solver::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  160 |     update_screen_derived(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  161 |         *state.X,
      |         ~~~~~~~~~         
  162 |         state.X_means,
      |         ~~~~~~~~~~~~~~    
  163 |         state.weights_sqrt,
      |         ~~~~~~~~~~~~~~~~~~~
  164 |         state.groups,
      |         ~~~~~~~~~~~~~     
  165 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  166 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~ 
  167 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  168 |         old_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  169 |         new_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  170 |         state.intercept,
      |         ~~~~~~~~~~~~~~~~  
  171 |         state.n_threads,
      |         ~~~~~~~~~~~~~~~~  
  172 |         state.screen_X_means,
      |         ~~~~~~~~~~~~~~~~~~~~~
  173 |         state.screen_transforms,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  174 |         state.screen_vars
      |         ~~~~~~~~~~~~~~~~~ 
  175 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.ipp:27:51:   required from ‘void adelie_core::state::StateGaussianNaive<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixNaiveBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   27 |     solver::gaussian::naive::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:152:9:   required from ‘adelie_core::state::StateGaussianNaive<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianNaive(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixNaiveBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  152 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:50:19:   required from here
   50 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::naive::update_screen_derived<adelie_core::matrix::MatrixNaiveBase<double, int>, Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, std::vector<int>, std::vector<int>, std::vector<double>, std::vector<Eigen::Matrix<double, -1, -1, 1, -1, -1>, std::allocator<Eigen::Matrix<double, -1, -1, 1, -1, -1> > >, std::vector<double> >(adelie_core::matrix::MatrixNaiveBase<double, int>&, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Array<double, 1, -1, 1, 1, -1>&, const Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, const std::vector<int>&, const std::vector<int>&, size_t, size_t, bool, size_t, std::vector<double>&, std::vector<Eigen::Matrix<double, -1, -1, 1, -1, -1>, std::allocator<Eigen::Matrix<double, -1, -1, 1, -1, -1> > >&, std::vector<double>&)::<lambda(auto:171)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:124:27:   required from ‘void adelie_core::solver::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, size_t, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase<double, int>; XMType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array<double, 1, -1, 1, 1, -1>; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; SSType = std::vector<int>; SBType = std::vector<int>; SXMType = std::vector<double>; STType = std::vector<Eigen::Matrix<double, -1, -1, 1, -1, -1>, std::allocator<Eigen::Matrix<double, -1, -1, 1, -1, -1> > >; SVType = std::vector<double>; size_t = long unsigned int]’
  124 |     util::omp_parallel_for(routine, begin, end, n_threads * ((begin+n_threads) <= end));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:160:26:   required from ‘void adelie_core::solver::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  160 |     update_screen_derived(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  161 |         *state.X,
      |         ~~~~~~~~~         
  162 |         state.X_means,
      |         ~~~~~~~~~~~~~~    
  163 |         state.weights_sqrt,
      |         ~~~~~~~~~~~~~~~~~~~
  164 |         state.groups,
      |         ~~~~~~~~~~~~~     
  165 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  166 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~ 
  167 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  168 |         old_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  169 |         new_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  170 |         state.intercept,
      |         ~~~~~~~~~~~~~~~~  
  171 |         state.n_threads,
      |         ~~~~~~~~~~~~~~~~  
  172 |         state.screen_X_means,
      |         ~~~~~~~~~~~~~~~~~~~~~
  173 |         state.screen_transforms,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  174 |         state.screen_vars
      |         ~~~~~~~~~~~~~~~~~ 
  175 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.ipp:27:51:   required from ‘void adelie_core::state::StateGaussianNaive<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixNaiveBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   27 |     solver::gaussian::naive::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:152:9:   required from ‘adelie_core::state::StateGaussianNaive<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianNaive(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixNaiveBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  152 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:50:19:   required from here
   50 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:33:36:   required from ‘static void Eigen::selfadjoint_rank1_update<Scalar, Index, 0, UpLo, ConjLhs, ConjRhs>::run(Index, Scalar*, Index, const Scalar*, const Scalar*, const Scalar&) [with Scalar = double; Index = long int; int UpLo = 1; bool ConjLhs = false; bool ConjRhs = false]’
   33 |           += (alpha * cj(vecY[i])) * ConjLhsType(OtherMap(vecX+(UpLo==Lower ? i : 0),UpLo==Lower ? size-i : (i+1)));
      |              ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:78:16:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::naive::update_screen_derived<adelie_core::matrix::MatrixNaiveBase<double, int>, Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, std::vector<int>, std::vector<int>, std::vector<double>, std::vector<Eigen::Matrix<double, -1, -1, 1, -1, -1>, std::allocator<Eigen::Matrix<double, -1, -1, 1, -1, -1> > >, std::vector<double> >(adelie_core::matrix::MatrixNaiveBase<double, int>&, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Array<double, 1, -1, 1, 1, -1>&, const Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, const std::vector<int>&, const std::vector<int>&, size_t, size_t, bool, size_t, std::vector<double>&, std::vector<Eigen::Matrix<double, -1, -1, 1, -1, -1>, std::allocator<Eigen::Matrix<double, -1, -1, 1, -1, -1> > >&, std::vector<double>&)::<lambda(auto:171)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:124:27:   required from ‘void adelie_core::solver::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, size_t, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase<double, int>; XMType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array<double, 1, -1, 1, 1, -1>; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; SSType = std::vector<int>; SBType = std::vector<int>; SXMType = std::vector<double>; STType = std::vector<Eigen::Matrix<double, -1, -1, 1, -1, -1>, std::allocator<Eigen::Matrix<double, -1, -1, 1, -1, -1> > >; SVType = std::vector<double>; size_t = long unsigned int]’
  124 |     util::omp_parallel_for(routine, begin, end, n_threads * ((begin+n_threads) <= end));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:160:26:   required from ‘void adelie_core::solver::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  160 |     update_screen_derived(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  161 |         *state.X,
      |         ~~~~~~~~~         
  162 |         state.X_means,
      |         ~~~~~~~~~~~~~~    
  163 |         state.weights_sqrt,
      |         ~~~~~~~~~~~~~~~~~~~
  164 |         state.groups,
      |         ~~~~~~~~~~~~~     
  165 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  166 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~ 
  167 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  168 |         old_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  169 |         new_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  170 |         state.intercept,
      |         ~~~~~~~~~~~~~~~~  
  171 |         state.n_threads,
      |         ~~~~~~~~~~~~~~~~  
  172 |         state.screen_X_means,
      |         ~~~~~~~~~~~~~~~~~~~~~
  173 |         state.screen_transforms,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  174 |         state.screen_vars
      |         ~~~~~~~~~~~~~~~~~ 
  175 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.ipp:27:51:   required from ‘void adelie_core::state::StateGaussianNaive<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixNaiveBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   27 |     solver::gaussian::naive::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:152:9:   required from ‘adelie_core::state::StateGaussianNaive<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianNaive(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixNaiveBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  152 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:50:19:   required from here
   50 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  370 |                                   * (conj(h) * matA.col(i).tail(remainingSize)));
      |                                     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:70:52:   required from ‘void adelie_core::solver::update_abs_grad(StateType&, ValueType) [with StateType = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; ValueType = double]’
   70 |             abs_grad[i] = common_expr.matrix().norm();
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.ipp:99:28:   required from ‘void adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   99 |     solver::update_abs_grad(*this, lmda);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:214:9:   required from ‘adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<BoolType, 1, -1, 1, 1, -1> >&, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename Eigen::internal::conditional<const Eigen::Array<BoolType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  214 |         initialize();
      |         ^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:133:16:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  133 |         rsq(rsq)
      |                ^
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:74:62:   required from ‘void adelie_core::solver::update_abs_grad(StateType&, ValueType) [with StateType = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; ValueType = double]’
   74 |             abs_grad[i] = (common_expr - vbuff).matrix().norm();
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.ipp:99:28:   required from ‘void adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   99 |     solver::update_abs_grad(*this, lmda);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:214:9:   required from ‘adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<BoolType, 1, -1, 1, 1, -1> >&, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename Eigen::internal::conditional<const Eigen::Array<BoolType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  214 |         initialize();
      |         ^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:133:16:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  133 |         rsq(rsq)
      |                ^
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:92:34:   required from ‘void adelie_core::solver::update_abs_grad(StateType&, ValueType) [with StateType = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; ValueType = double]’
   92 |                 v_k.matrix().norm()
      |                 ~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.ipp:99:28:   required from ‘void adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   99 |     solver::update_abs_grad(*this, lmda);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:214:9:   required from ‘adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<BoolType, 1, -1, 1, 1, -1> >&, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename Eigen::internal::conditional<const Eigen::Array<BoolType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  214 |         initialize();
      |         ^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:133:16:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  133 |         rsq(rsq)
      |                ^
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7:   required from ‘Eigen::MapBase<Derived, 1>::ScalarWithConstIfNotLvalue& Eigen::MapBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long int]’
   15 |       EIGEN_STATIC_ASSERT((int(internal::evaluator<Derived>::Flags) & LinearAccessBit) || Derived::IsVectorAtCompileTime, \
      |                                                              ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:25:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  367 |     matA.col(i).coeffRef(i+1) = 1;
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; VectorY = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; OtherScalar = double]’
  475 |     EIGEN_PLAIN_ENUM_MIN(evaluator<VectorX>::Alignment, evaluator<VectorY>::Alignment),
      |                                              ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40:   required from ‘void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Eigen::Index = long int]’
  315 |   internal::apply_rotation_in_the_plane(x, y, j.transpose());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24:   required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’
  895 |       q.applyOnTheRight(k,k+1,rot);
      |       ~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87:   required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’
  548 |     internal::tridiagonal_qr_step<MatrixType::Flags&RowMajorBit ? RowMajor : ColMajor>(diag.data(), subdiag.data(), start, end, computeEigenvectors ? eivec.data() : (Scalar*)0, n);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   79 |     CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
      |                                                   ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   required from ‘void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  123 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:323:14:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  323 |   this->visit(minVisitor);
      |   ~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:496:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  496 |       return minCoeff<PropagateFast>(index);
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:35:   required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’
  563 |       diag.segment(i,n-i).minCoeff(&k);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:93:30:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   93 |         svars.head(D.size()) = D.array() * (D.array() >= 0).template cast<value_t>();
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   93 |     essential = tail / (c0 - beta);
      |                 ~~~~~^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74:   required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; VType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   34 |                         (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i)
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60:   required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; VType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   35 |                       + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23:   required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; VType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   34 |                         (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i)
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                       + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i);
      |                       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::naive::update_screen_derived<adelie_core::matrix::MatrixNaiveBase<double, int>, Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, std::vector<int>, std::vector<int>, std::vector<double>, std::vector<Eigen::Matrix<double, -1, -1, 1, -1, -1>, std::allocator<Eigen::Matrix<double, -1, -1, 1, -1, -1> > >, std::vector<double> >(adelie_core::matrix::MatrixNaiveBase<double, int>&, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Array<double, 1, -1, 1, 1, -1>&, const Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, const std::vector<int>&, const std::vector<int>&, size_t, size_t, bool, size_t, std::vector<double>&, std::vector<Eigen::Matrix<double, -1, -1, 1, -1, -1>, std::allocator<Eigen::Matrix<double, -1, -1, 1, -1, -1> > >&, std::vector<double>&)::<lambda(auto:171)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:124:27:   required from ‘void adelie_core::solver::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, size_t, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase<double, int>; XMType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array<double, 1, -1, 1, 1, -1>; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; SSType = std::vector<int>; SBType = std::vector<int>; SXMType = std::vector<double>; STType = std::vector<Eigen::Matrix<double, -1, -1, 1, -1, -1>, std::allocator<Eigen::Matrix<double, -1, -1, 1, -1, -1> > >; SVType = std::vector<double>; size_t = long unsigned int]’
  124 |     util::omp_parallel_for(routine, begin, end, n_threads * ((begin+n_threads) <= end));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:160:26:   required from ‘void adelie_core::solver::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  160 |     update_screen_derived(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  161 |         *state.X,
      |         ~~~~~~~~~         
  162 |         state.X_means,
      |         ~~~~~~~~~~~~~~    
  163 |         state.weights_sqrt,
      |         ~~~~~~~~~~~~~~~~~~~
  164 |         state.groups,
      |         ~~~~~~~~~~~~~     
  165 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  166 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~ 
  167 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  168 |         old_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  169 |         new_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  170 |         state.intercept,
      |         ~~~~~~~~~~~~~~~~  
  171 |         state.n_threads,
      |         ~~~~~~~~~~~~~~~~  
  172 |         state.screen_X_means,
      |         ~~~~~~~~~~~~~~~~~~~~~
  173 |         state.screen_transforms,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  174 |         state.screen_vars
      |         ~~~~~~~~~~~~~~~~~ 
  175 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.ipp:27:51:   required from ‘void adelie_core::state::StateGaussianNaive<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixNaiveBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   27 |     solver::gaussian::naive::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:152:9:   required from ‘adelie_core::state::StateGaussianNaive<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianNaive(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixNaiveBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  152 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:50:19:   required from here
   50 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’
  142 |       EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
      |                                                         ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   79 |   Scalar c0 = coeff(0);
      |               ~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   46 |   makeHouseholder(essentialPart, tau, beta);
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  363 |     matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   78 |   RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm();
      |                                                       ~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:337:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of ‘static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7:   required from ‘static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Scalar = double]’
  227 |     internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  228 |                                                 int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  229 |       (
      |       ^
  230 |         lhs.rows(),                             // size
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |         &lhs.coeffRef(0,0),  lhs.outerStride(), // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |         actualRhsPtr,                           // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |         actualDestPtr,                          // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |         actualAlpha                             // scale factor
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |       );
      |       ~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’
  805 |     selfadjoint_product_impl<typename Lhs::MatrixType,Lhs::Mode,false,Rhs,0,Rhs::IsVectorAtCompileTime>::run(dst, lhs.nestedExpression(), rhs, alpha);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   62 |   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs,  IsRowMajor), ConjugateRhs> pcj0;
      |                                                                                                                         ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   63 |   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1;
      |                                                                                                                         ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:166:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68:   required from ‘static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’
   89 |     Index alignedStart = (starti) + internal::first_default_aligned(&res[starti], endi-starti);
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7:   required from ‘static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Scalar = double]’
  227 |     internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  228 |                                                 int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  229 |       (
      |       ^
  230 |         lhs.rows(),                             // size
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |         &lhs.coeffRef(0,0),  lhs.outerStride(), // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |         actualRhsPtr,                           // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |         actualDestPtr,                          // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |         actualAlpha                             // scale factor
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |       );
      |       ~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’
  805 |     selfadjoint_product_impl<typename Lhs::MatrixType,Lhs::Mode,false,Rhs,0,Rhs::IsVectorAtCompileTime>::run(dst, lhs.nestedExpression(), rhs, alpha);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  500 |   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
      |                                                            ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  169 |     this->col(0) -= tau * tmp;
      |                     ~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, 5>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  131 |     this->row(0) -= tau * tmp;
      |                     ~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  132 |     bottom.noalias() -= tau * essential * tmp;
      |                         ~~~~^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33:   required from ‘static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; bool Big = false]’
  846 |     return m = Derived::Identity(m.rows(), m.cols());
      |                ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from ‘Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Matrix<double, -1, -1>]’
  875 |   return internal::setIdentity_impl<Derived>::run(derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:892:21:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |                                             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   73 |           triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1);
      |                                                ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’
  142 |       EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
      |                                                         ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’
  182 |       return coeff(index);
      |              ~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |                                              ~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Func = generic_product_impl<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
  280 |     func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:333:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
   87 |   typedef typename Traits::LhsPacket LhsPacket;
      |                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Scalar = double]’
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
   91 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Scalar = double]’
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 2>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
   95 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Scalar = double]’
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’
  296 |           dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size());
      |                            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:330:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:92:29:   required from ‘struct Eigen::internal::product_triangular_matrix_matrix<double, long int, 5, true, 0, false, 0, false, 0, 1, 0>’
   92 |     SmallPanelWidth   = 2 * EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr),
      |                                                          ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
  357 |   { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); }
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, false, Lhs, true, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’
  194 |             ::run(rhs.transpose(),lhs.transpose(), dstT, alpha);
      |                                   ~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 64>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 8, 8, 0, 8, 8>’
  178 | class Matrix
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  150 |     Matrix<Scalar,SmallPanelWidth,SmallPanelWidth,LhsStorageOrder> triangularBuffer(a);
      |                                                                    ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 8>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
  179 |     typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
      |                                                                                 ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  153 |       triangularBuffer.diagonal().setZero();
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
 1080 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  157 |     gebp_kernel<Scalar, Scalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp_kernel;
      |                                                                                                       ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
 1085 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  157 |     gebp_kernel<Scalar, Scalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp_kernel;
      |                                                                                                       ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54:   required from ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’
  341 |       dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize);
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]’
  457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]’
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:175:15:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  175 |       pack_rhs(blockB, rhs.getSubMapper(actual_k2,0), actual_kc, cols);
      |       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
  357 |   { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); }
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  203 |           pack_lhs(blockA, LhsMapper(triangularBuffer.data(), triangularBuffer.outerStride()), actualPanelWidth, actualPanelWidth);
      |           ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
  357 |   { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); }
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  205 |           gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB,
      |           ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  206 |                       actualPanelWidth, actualPanelWidth, cols, alpha,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  207 |                       actualPanelWidth, actual_kc, 0, blockBOffset);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
  357 |   { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); }
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77:   required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’
  137 |           res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  203 |           pack_lhs(blockA, LhsMapper(triangularBuffer.data(), triangularBuffer.outerStride()), actualPanelWidth, actualPanelWidth);
      |           ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; Scalar = double]’
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2256 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2258 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2259 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2298 |               PacketBlock<HalfPacket> kernel_half;
      |                                       ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2304 |               PacketBlock<QuarterPacket> kernel_quarter;
      |                                          ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114:   required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’
  137 |           res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   required from ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’
  327 |     internal::triangular_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  328 |       <Index,Mode,
      |       ~~~~~~~~~~~~
  329 |        LhsScalar, LhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  330 |        RhsScalar, RhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  331 |        RowMajor>
      |        ~~~~~~~~~
  332 |       ::run(actualLhs.rows(),actualLhs.cols(),
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  333 |             actualLhs.data(),actualLhs.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  334 |             actualRhsPtr,1,
      |             ~~~~~~~~~~~~~~~
  335 |             dest.data(),dest.innerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  336 |             actualAlpha);
      |             ~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 42 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 40 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:84:67:   required from ‘adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)> [with auto:152 = long int]’
   84 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/omp.hpp:40:53:   required from ‘void adelie_core::util::omp_parallel_for(F, Eigen::Index, Eigen::Index, size_t) [with omp_schedule_type schedule_type = adelie_core::util::omp_schedule_type::_static; F = adelie_core::solver::gaussian::cov::update_screen_derived<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&)::<lambda(auto:152)>; Eigen::Index = long int; size_t = long unsigned int]’
   40 |         for (Eigen::Index i = begin; i < end; ++i) f(i);
      |                                                    ~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:95:27:   required from ‘void adelie_core::solver::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double, int>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   95 |     util::omp_parallel_for(routine, old_screen_size, new_screen_size, n_threads * (old_screen_size+n_threads <= new_screen_size));
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.ipp:16:49:   required from ‘void adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::initialize() [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int]’
   16 |     solver::gaussian::cov::update_screen_derived(*this);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:135:9:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double, int>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double, int>*, std::allocator<adelie_core::constraint::ConstraintBase<double, int>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double, int>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  135 |         initialize();
      |         ^~~~~~~~~~
rcpp_state.h:44:19:   required from here
   44 |     using base_t::base_t;
      |                   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In function ‘Eigen::internal::selfadjoint_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, -1, false>, 17, false, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1, 0, -1, 1> const> const, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, 1, true>, -1, 1, false> const>, 0, true>::run<Eigen::Block<Eigen::Matrix<double, -1, 1, 0, -1, 1>, -1, 1, false> >(Eigen::Block<Eigen::Matrix<double, -1, 1, 0, -1, 1>, -1, 1, false>&, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, -1, false> const&, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1, 0, -1, 1> const> const, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, 1, true>, -1, 1, false> const> const&, double const&)void [clone .isra.0]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: warning: ‘result_66’ may be used uninitialized [-Wmaybe-uninitialized]
  227 |     internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  228 |                                                 int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  229 |       (
      |       ^
  230 |         lhs.rows(),                             // size
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |         &lhs.coeffRef(0,0),  lhs.outerStride(), // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |         actualRhsPtr,                           // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |         actualDestPtr,                          // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |         actualAlpha                             // scale factor
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |       );
      |       ~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:41:6: note: by argument 4 of type ‘const double *’ to ‘Eigen::internal::selfadjoint_matrix_vector_product<double, long, 0, 1, false, false, 0>::run(long, double const*, long, double const*, double*, double)’ declared here
   41 | void selfadjoint_matrix_vector_product<Scalar,Index,StorageOrder,UpLo,ConjugateLhs,ConjugateRhs,Version>::run(
      |      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:341:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function ‘Eigen::internal::trmv_selector<6, 1>::run<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, -1, false> const, -1, -1, false> const>, Eigen::Transpose<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1, 1, 1, -1> const> const, Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, -1, false> const, -1, 1, true> const, -1, 1, false> const> const> const>, Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >(Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, -1, false> const, -1, -1, false> const> const&, Eigen::Transpose<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1, 1, 1, -1> const> const, Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, -1>, -1, -1, false> const, -1, 1, true> const, -1, 1, false> const> const> const> const&, Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >&, Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >::Scalar const&)void [clone .isra.0]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: ‘result_43’ may be used uninitialized [-Wmaybe-uninitialized]
  327 |     internal::triangular_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  328 |       <Index,Mode,
      |       ~~~~~~~~~~~~
  329 |        LhsScalar, LhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  330 |        RhsScalar, RhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  331 |        RowMajor>
      |        ~~~~~~~~~
  332 |       ::run(actualLhs.rows(),actualLhs.cols(),
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  333 |             actualLhs.data(),actualLhs.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  334 |             actualRhsPtr,1,
      |             ~~~~~~~~~~~~~~~
  335 |             dest.data(),dest.innerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  336 |             actualAlpha);
      |             ~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type ‘const double *’ to ‘Eigen::internal::triangular_matrix_vector_product<long, 6, double, false, double, false, 1, 0>::run(long, long, double const*, long, double const*, long, double*, long, double const&)’ declared here
  105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product<Index,Mode,LhsScalar,ConjLhs,RhsScalar,ConjRhs,RowMajor,Version>
      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++ -std=gnu++17 -shared -L/usr/lib64/R/lib -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -o adelie.so RcppExports.o rcpp_configs.o rcpp_constraint.o rcpp_glm.o rcpp_io.o rcpp_matrix.o rcpp_matrix_utils_blas.o rcpp_solver.o rcpp_state.o -fopenmp -L/usr/lib64/R/lib -lR
installing to /builddir/build/BUILD/R-CRAN-adelie-1.0.8-build/BUILDROOT/usr/local/lib/R/library/00LOCK-adelie/00new/adelie/libs
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
  converting help for package ‘adelie’
    finding HTML links ... done
    constraint.box                          html  
    cv.glintnet                             html  
    cv.grpnet                               html  
    gaussian_cov                            html  
    glintnet                                html  
    glm.binomial                            html  
    glm.cox                                 html  
    glm.gaussian                            html  
    glm.multigaussian                       html  
    glm.multinomial                         html  
    glm.poisson                             html  
    grpnet                                  html  
    io.snp_phased_ancestry                  html  
    io.snp_unphased                         html  
    matrix.block_diag                       html  
    matrix.concatenate                      html  
    matrix.convex_relu                      html  
    matrix.dense                            html  
    matrix.eager_cov                        html  
    matrix.interaction                      html  
    matrix.kronecker_eye                    html  
    matrix.lazy_cov                         html  
    matrix.one_hot                          html  
    matrix.snp_phased_ancestry              html  
    matrix.snp_unphased                     html  
    matrix.sparse                           html  
    matrix.standardize                      html  
    matrix.subset                           html  
    plot.cv.grpnet                          html  
    plot.grpnet                             html  
    predict.cv.glintnet                     html  
    predict.cv.grpnet                       html  
    predict.glintnet                        html  
    predict.grpnet                          html  
    print.cv.grpnet                         html  
    print.glintnet                          html  
    print.grpnet                            html  
    set_configs                             html  
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (adelie)
+ test -d adelie/src
+ cd adelie/src
+ rm -f RcppExports.o rcpp_configs.o rcpp_constraint.o rcpp_glm.o rcpp_io.o rcpp_matrix.o rcpp_matrix_utils_blas.o rcpp_solver.o rcpp_state.o adelie.so
+ rm -f /builddir/build/BUILD/R-CRAN-adelie-1.0.8-build/BUILDROOT/usr/local/lib/R/library/R.css
+ find /builddir/build/BUILD/R-CRAN-adelie-1.0.8-build/BUILDROOT/usr/local/lib/R/library -type f -exec sed -i s@/builddir/build/BUILD/R-CRAN-adelie-1.0.8-build/BUILDROOT@@g '{}' ';'
+ /usr/bin/find-debuginfo -j4 --strict-build-id -m -i --build-id-seed 1.0.8-1.fc43.copr9231810 --unique-debug-suffix -1.0.8-1.fc43.copr9231810.x86_64 --unique-debug-src-base R-CRAN-adelie-1.0.8-1.fc43.copr9231810.x86_64 --run-dwz --dwz-low-mem-die-limit 10000000 --dwz-max-die-limit 110000000 -S debugsourcefiles.list /builddir/build/BUILD/R-CRAN-adelie-1.0.8-build/adelie
find-debuginfo: starting
Extracting debug info from 1 files
DWARF-compressing 1 files
sepdebugcrcfix: Updated 1 CRC32s, 0 CRC32s did match.
Creating .debug symlinks for symlinks to ELF files
Copying sources found by 'debugedit -l' to /usr/src/debug/R-CRAN-adelie-1.0.8-1.fc43.copr9231810.x86_64
find-debuginfo: done
+ /usr/lib/rpm/check-buildroot
+ /usr/lib/rpm/redhat/brp-ldconfig
+ /usr/lib/rpm/brp-compress
+ /usr/lib/rpm/redhat/brp-strip-lto /usr/bin/strip
+ /usr/lib/rpm/brp-strip-static-archive /usr/bin/strip
+ /usr/lib/rpm/redhat/brp-mangle-shebangs
+ /usr/lib/rpm/brp-remove-la-files
+ /usr/lib/rpm/redhat/brp-python-rpm-in-distinfo
+ env /usr/lib/rpm/redhat/brp-python-bytecompile '' 1 0 -j4
+ /usr/lib/rpm/redhat/brp-python-hardlink
+ /usr/bin/add-determinism --brp -j4 /builddir/build/BUILD/R-CRAN-adelie-1.0.8-build/BUILDROOT
Handler jar skipped: jar handler requires $SOURCE_DATE_EPOCH to be set
Handler gzip skipped: gzip handler requires $SOURCE_DATE_EPOCH to be set
Handler zip skipped: zip handler requires $SOURCE_DATE_EPOCH to be set
Scanned 67 directories and 473 files,
               processed 84 inodes,
               0 modified (0 replaced + 0 rewritten),
               0 unsupported format, 0 errors
Reading /builddir/build/BUILD/R-CRAN-adelie-1.0.8-build/SPECPARTS/rpm-debuginfo.specpart
Processing files: R-CRAN-adelie-1.0.8-1.fc43.copr9231810.x86_64
Provides: R-CRAN-adelie = 1.0.8-1.fc43.copr9231810 R-CRAN-adelie(x86-64) = 1.0.8-1.fc43.copr9231810
Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1
Requires: libR.so()(64bit) libc.so.6()(64bit) libc.so.6(GLIBC_2.11)(64bit) libc.so.6(GLIBC_2.14)(64bit) libc.so.6(GLIBC_2.2.5)(64bit) libc.so.6(GLIBC_2.3.4)(64bit) libc.so.6(GLIBC_2.32)(64bit) libc.so.6(GLIBC_2.4)(64bit) libc.so.6(GLIBC_ABI_DT_RELR)(64bit) libgcc_s.so.1()(64bit) libgcc_s.so.1(GCC_3.0)(64bit) libgcc_s.so.1(GCC_3.3.1)(64bit) libgomp.so.1()(64bit) libgomp.so.1(GOMP_1.0)(64bit) libgomp.so.1(GOMP_4.0)(64bit) libgomp.so.1(GOMP_4.5)(64bit) libgomp.so.1(OMP_1.0)(64bit) libm.so.6()(64bit) libm.so.6(GLIBC_2.2.5)(64bit) libm.so.6(GLIBC_2.29)(64bit) libstdc++.so.6()(64bit) libstdc++.so.6(CXXABI_1.3)(64bit) libstdc++.so.6(CXXABI_1.3.15)(64bit) libstdc++.so.6(CXXABI_1.3.5)(64bit) libstdc++.so.6(CXXABI_1.3.8)(64bit) libstdc++.so.6(CXXABI_1.3.9)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libstdc++.so.6(GLIBCXX_3.4.11)(64bit) libstdc++.so.6(GLIBCXX_3.4.14)(64bit) libstdc++.so.6(GLIBCXX_3.4.18)(64bit) libstdc++.so.6(GLIBCXX_3.4.19)(64bit) libstdc++.so.6(GLIBCXX_3.4.20)(64bit) libstdc++.so.6(GLIBCXX_3.4.21)(64bit) libstdc++.so.6(GLIBCXX_3.4.26)(64bit) libstdc++.so.6(GLIBCXX_3.4.29)(64bit) libstdc++.so.6(GLIBCXX_3.4.30)(64bit) libstdc++.so.6(GLIBCXX_3.4.32)(64bit) libstdc++.so.6(GLIBCXX_3.4.9)(64bit) rtld(GNU_HASH)
Processing files: R-CRAN-adelie-debugsource-1.0.8-1.fc43.copr9231810.x86_64
Provides: R-CRAN-adelie-debugsource = 1.0.8-1.fc43.copr9231810 R-CRAN-adelie-debugsource(x86-64) = 1.0.8-1.fc43.copr9231810
Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1
Processing files: R-CRAN-adelie-debuginfo-1.0.8-1.fc43.copr9231810.x86_64
Provides: R-CRAN-adelie-debuginfo = 1.0.8-1.fc43.copr9231810 R-CRAN-adelie-debuginfo(x86-64) = 1.0.8-1.fc43.copr9231810 debuginfo(build-id) = a2af09569f0e49815fced0d684b3aae90bee90ab
Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1
Recommends: R-CRAN-adelie-debugsource(x86-64) = 1.0.8-1.fc43.copr9231810
Checking for unpackaged file(s): /usr/lib/rpm/check-files /builddir/build/BUILD/R-CRAN-adelie-1.0.8-build/BUILDROOT
Wrote: /builddir/build/RPMS/R-CRAN-adelie-debugsource-1.0.8-1.fc43.copr9231810.x86_64.rpm
Wrote: /builddir/build/RPMS/R-CRAN-adelie-1.0.8-1.fc43.copr9231810.x86_64.rpm
Wrote: /builddir/build/RPMS/R-CRAN-adelie-debuginfo-1.0.8-1.fc43.copr9231810.x86_64.rpm
Executing(rmbuild): /bin/sh -e /var/tmp/rpm-tmp.zjlYlj
+ umask 022
+ cd /builddir/build/BUILD/R-CRAN-adelie-1.0.8-build
+ test -d /builddir/build/BUILD/R-CRAN-adelie-1.0.8-build
+ /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w /builddir/build/BUILD/R-CRAN-adelie-1.0.8-build
+ rm -rf /builddir/build/BUILD/R-CRAN-adelie-1.0.8-build
+ RPM_EC=0
++ jobs -p
+ exit 0

RPM build warnings:
    %source_date_epoch_from_changelog is set, but %changelog has no entries to take a date from
Finish: rpmbuild R-CRAN-adelie-1.0.8-1.fc43.copr9231810.src.rpm
Finish: build phase for R-CRAN-adelie-1.0.8-1.fc43.copr9231810.src.rpm
INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan
INFO: /var/lib/mock/fedora-rawhide-x86_64-1751421719.754451/root/var/log/dnf5.log
INFO: chroot_scan: creating tarball /var/lib/copr-rpmbuild/results/chroot_scan.tar.gz
/bin/tar: Removing leading `/' from member names
INFO: Done(/var/lib/copr-rpmbuild/results/R-CRAN-adelie-1.0.8-1.fc43.copr9231810.src.rpm) Config(child) 8 minutes 24 seconds
INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results
INFO: Cleaning up build root ('cleanup_on_success=True')
Start: clean chroot
INFO: unmounting tmpfs.
Finish: clean chroot
Finish: run
Running RPMResults tool
Package info:
{
    "packages": [
        {
            "name": "R-CRAN-adelie",
            "epoch": null,
            "version": "1.0.8",
            "release": "1.fc43.copr9231810",
            "arch": "x86_64"
        },
        {
            "name": "R-CRAN-adelie",
            "epoch": null,
            "version": "1.0.8",
            "release": "1.fc43.copr9231810",
            "arch": "src"
        },
        {
            "name": "R-CRAN-adelie-debugsource",
            "epoch": null,
            "version": "1.0.8",
            "release": "1.fc43.copr9231810",
            "arch": "x86_64"
        },
        {
            "name": "R-CRAN-adelie-debuginfo",
            "epoch": null,
            "version": "1.0.8",
            "release": "1.fc43.copr9231810",
            "arch": "x86_64"
        }
    ]
}
RPMResults finished